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ORCIDCoRR, November 2025
Volume 2025-11, November 2025
- Yurun Wu, Yousong Sun, Burkhard Wunsche, Jia Wang, Elliott Wen:
VRScout: Towards Real-Time, Autonomous Testing of Virtual Reality Games. - Eric Ngondiep:
An unconditionally stable numerical approach for solving a nonlinear distributed delay Sobolev model. - Adrian-Dinu Urse, Dumitru-Clementin Cercel, Florin Pop:
Multimodal Learning with Augmentation Techniques for Natural Disaster Assessment. - Alina Chertock, Arsen S. Iskhakov, Alexander Kurganov:
Uncertainty Quantification in Forward Problems: Balancing Accuracy and Robustness Using CWENO Interpolations. - Alina Chertock, Michael Herty, Arsen S. Iskhakov, Anna Iskhakova, Alexander Kurganov, Mária Lukácová-Medvid'ová:
Numerical Study of Random Kelvin-Helmholtz Instability. - Jiajun Zhang, Jianke Zhang, Zeyu Cui, Jiaxi Yang, Lei Zhang, Binyuan Hui, Qiang Liu, Zilei Wang, Liang Wang, Junyang Lin:
PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization. - Alexander Okupnik, Johannes Schneider, Kyriakos Flouris:
Generative human motion mimicking through feature extraction in denoising diffusion settings. - Jinwoo Baek:
Matrix Phylogeny: Compact Spectral Fingerprints for Trap-Robust Preconditioner Selection. - Swapnoneel Roy, Asai Asaithambi, Debajyoti Mukhopadhyay:
Sorting by Strip Swaps is NP-Hard. - Eleonora Maggiorelli, Matteo Negri, Francesco Vicentini, Laura De Lorenzis:
Gamma convergence for a phase-field cohesive energy. - Shanshan Dong, Lu Wang, Xiangxiang Chen, Guanqing Wang:
Two-dimensional Gauss-Jacobi Quadrature for Multiscale Boltzmann Solvers. - Munawar Ali, Qi Feng:
Branched Signature Model. - Suhasnadh Reddy Veluru, Sai Teja Erukude, Viswa Chaitanya Marella:
Multimodal Detection of Fake Reviews using BERT and ResNet-50. - Julio Jerison E. Macrohon, Gordon Hung:
Deep Learning Models for Coral Bleaching Classification in Multi-Condition Underwater Image Datasets. - Jules Gerard, Leandro Di Bella, Filip Huyghe, Marc Kochzius:
Automating Coral Reef Fish Family Identification on Video Transects Using a YOLOv8-Based Deep Learning Pipeline. - Haotian Hang, Yueyang Shen, Vicky Zhu, Jose Cruz, Michelle Li:
Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model. - Tadisetty Sai Yashwanth:
On the Structure of Floating-Point Noise in Batch-Invariant GPU Matrix Multiplication. - Chaitanya Shinde, Divya Garikapati:
Gen AI in Automotive: Applications, Challenges, and Opportunities with a Case study on In-Vehicle Experience. - Josu Eguiluz Castañeira, Axel Brando, Migle Laukyte, Marc Serra-Vidal:
Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All? - Hanyang Chen, Yanchao Yang:
Mutual Information guided Visual Contrastive Learning. - Samaksh Bhargav, Zining Zhu:
Feature-Guided SAE Steering for Refusal-Rate Control using Contrasting Prompts. - Myeongseob Ko, Hoang Anh Just, Charles Fleming, Ming Jin, Ruoxi Jia:
Probing Knowledge Holes in Unlearned LLMs. - Lei Liu, Zhongyi Yu, Hong Wang, Huanshuo Dong, Haiyang Xin, Hongwei Zhao, Bin Li:
From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators. - Diqi He, Xuehao Gao, Hao Li, Junwei Han, Dingwen Zhang:
STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization. - Aditya Akella:
On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning. - Georg Velev, Stefan Lessmann:
Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series. - Riya Gupta, Alexander Chowdhury, Sahil S. Nalawade:
Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra. - Suman Raj, Radhika Mittal, Rajiv Mayani, Pawel Zuk, Anirban Mandal, Michael Zink, Yogesh Simmhan, Ewa Deelman:
AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios. - Krishna Kumar Neelakanta Pillai Santha Kumari Amma:
Graph-Attentive MAPPO for Dynamic Retail Pricing. - Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song:
Semi-Supervised Preference Optimization with Limited Feedback. - Yingzhao Jian, Zhongan Wang, Yi Yang, Hehe Fan:
Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World. - Sreeja Singh, Tamal Ghosh:
Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making. - Tyrus Whitman, Andrew Particka, Christopher Diers, Ian Griffin, Charuka D. Wickramasinghe, Pradeep K. Ranaweera:
Physics-Informed Neural Network Frameworks for the Analysis of Engineering and Biological Dynamical Systems Governed by Ordinary Differential Equations. - Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki:
ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks. - Rupjyoti Chutia, Dibya Jyoti Bora:
Enhancing rice leaf images: An overview of image denoising techniques. - Omkar Kulkarni, Rohitash Chandra:
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection. - Martin Bicher, Maximilian Viehauser, Daniele Giannandrea, Hannah Kastinger, Dominik Brunmeir, Claire Rippinger, Christoph Urach, Niki Popper:
GEPOC Parameters - Open Source Parametrisation and Validation for Austria, Version 2.0. - Yao Liu:
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting. - Dhananjaya Gowda, Seoha Song, Junhyun Lee, Harshith Goka:
FLoRA: Fused forward-backward adapters for parameter efficient fine-tuning and reducing inference-time latencies of LLMs. - Da Chang, Peng Xue, Yu Li, Yongxiang Liu, Pengxiang Xu, Shixun Zhang:
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT. - Federico Formica, Stefano Gregis, Aurora Francesca Zanenga, Andrea Rota, Mark Lawford, Claudio Menghi:
Feature-Guided Analysis of Neural Networks: A Replication Study. - Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin:
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models. - Gio Huh, Dhruv Sheth, Rayhan Zirvi, Frank Xiao:
SpatialTraceGen: High-Fidelity Traces for Efficient VLM Spatial Reasoning Distillation. - Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez H. Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit:
Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches. - Yuxi Liu, Renjia Deng, Yutong He, Xue Wang, Tao Yao, Kun Yuan:
MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling. - Paul Alexander Bilokon:
Computation as a Game. - Aditya Singh, Zihang Wen, Srujananjali Medicherla, Adam Karvonen, Can Rager:
Automatically Finding Rule-Based Neurons in OthelloGPT. - Zhiqi Qi, Runxin Zhao, Hanyang Zhuang, Chunxiang Wang, Ming Yang:
Which LiDAR scanning pattern is better for roadside perception: Repetitive or Non-repetitive? - Stephen Alaba John, Joye Ahmed Shonubi, Patience Farida Azuikpe, Victor Oluwatosin Ologun:
Adoption of AI-Driven Fraud Detection System in the Nigerian Banking Sector: An Analysis of Cost, Compliance, and Competency. - Arslan Ali, Junjie Bai, Maciej Bala, Yogesh Balaji, Aaron Blakeman, Tiffany Cai, Jiaxin Cao, Tianshi Cao, Elizabeth Cha, Yu-Wei Chao, Prithvijit Chattopadhyay, Mike Chen, Yongxin Chen, Yu Chen, Shuai Cheng, Yin Cui, Jenna Diamond, Yifan Ding, Jiaojiao Fan, Linxi Fan, Liang Feng, Francesco Ferroni, Sanja Fidler, Xiao Fu, Ruiyuan Gao, Yunhao Ge, Jinwei Gu, Aryaman Gupta, Siddharth Gururani, Imad El Hanafi, Ali Hassani, Zekun Hao, Jacob Huffman, Joel Jang, Pooya Jannaty, Jan Kautz, Grace Lam, Xuan Li, Zhaoshuo Li, Maosheng Liao, Chen-Hsuan Lin, Tsung-Yi Lin, Yen-Chen Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Seungjun Nah, Yashraj Narang, Abhijeet Panaskar, Lindsey Pavao, Trung Pham, Morteza Ramezanali, Fitsum Reda, Scott Reed, Xuanchi Ren, Haonan Shao, Yue Shen, Stella Shi, Shuran Song, Bartosz Stefaniak, Shangkun Sun, Shitao Tang, Sameena Tasmeen, Lyne Tchapmi, Wei-Cheng Tseng, Jibin Varghese, Andrew Z. Wang, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Jiashu Xu, Dinghao Yang, Xiaodong Yang, Haotian Ye, Seonghyeon Ye, Xiaohui Zeng, Jing Zhang, Qinsheng Zhang, Kaiwen Zheng, Andrew Zhu, Yuke Zhu:
World Simulation with Video Foundation Models for Physical AI. - Randolph Wiredu-Aidoo:
EVINGCA: Adaptive Graph Clustering with Evolving Neighborhood Statistics. - Kateryna Shapovalenko, Quentin Auster:
Aligning Brain Signals with Multimodal Speech and Vision Embeddings. - Tue Le, Nghi D. Q. Bui, Linh Ngo Van, Trung Le:
Token-Regulated Group Relative Policy Optimization for Stable Reinforcement Learning in Large Language Models. - Zhixing Li, Arsham Gholamzadeh Khoee, Yinan Yu:
Latent Domain Prompt Learning for Vision-Language Models. - Muhammad Bilal Awan, Abdul Razzaq, Abdul Shahid:
Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design. - Ertugrul Mutlu:
Wavelet-Based Feature Extraction and Unsupervised Clustering for Parity Detection: A Feature Engineering Perspective. - M. Pradeep, Ritesh Pallod, Satyen Abrol, Muthu Raman, Ian Anderson:
LookSync: Large-Scale Visual Product Search System for AI-Generated Fashion Looks. - Harald Kristen, Daniel Kulmer, Manuela Hirschmugl:
Habitat and Land Cover Change Detection in Alpine Protected Areas: A Comparison of AI Architectures. - Richard Osuagwu, Thomas Cook, Maraim Masoud, Koustav Ghosal, Riccardo Mattivi:
ScaleCall - Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights. - Qianhui Li, Weiya Wang
, Qianqi Zhao, Tong Qu, Jing He, Xuhong Qiang, Jingwen Hou, Ke Chen, Bao Zhang, Qi Wang:
PDA-LSTM: Knowledge-driven page data arrangement based on LSTM for LCM supression in QLC 3D NAND flash memories. - Zihao Wan, Pau Tong Lin Xu, Fuwen Luo, Ziyue Wang, Peng Li, Yang Liu:
Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with Bézier Curves. - Jannatul Shefa, Taylan G. Topcu:
What is the Return on Investment of Digital Engineering for Complex Systems Development? Findings from a Mixed-Methods Study on the Post-production Design Change Process of Navy Assets. - Chen-Wei Chang, Yu-Chieh Cheng, Yun-En Tsai, Fanglan Chen, Chang-Tien Lu:
RailEstate: An Interactive System for Metro Linked Property Trends. - Maximilian Willer, Peter Ruckdeschel:
flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R. - Masfiqur Rahaman, Maoyejatun Hasana, Shahad Shahriar Rahman, Md Sajid Mostafiz Noor, Razin Reaz Abedin, Md Toki Tahmid, Duncan Watson-Parris, Tanzeem Choudhury, A. B. M. Alim Al Islam, Tauhidur Rahman:
Forecasting Occupational Survivability of Rickshaw Pullers in a Changing Climate with Wearable Data. - Md. Shakib Khan, A. Ben Hamza, Amr M. Youssef:
Fixed-point graph convolutional networks against adversarial attacks. - Jolanta Sliwa:
Application of predictive machine learning in pen & paper RPG game design. - Peilin Tan, Chuanqi Shi, Dian Tu, Liang Xie:
MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning. - Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang:
Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. - Anshu Dubey, Akash Dhruv:
Adding New Capability in Existing Scientific Application with LLM Assistance. - NVIDIA:
Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail. - Huanlin Gao, Ping Chen, Fuyuan Shi, Chao Tan, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian:
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation. - Wenli Xiao, Haotian Lin, Andy Peng, Haoru Xue, Tairan He, Yuqi Xie, Fengyuan Hu, Jimmy Wu, Zhengyi Luo, Linxi Jim Fan, Guanya Shi, Yuke Zhu:
Self-Improving Vision-Language-Action Models with Data Generation via Residual RL. - Shunya Minami, Tatsuya Ishigaki, Ikko Hamamura, Taku Mikuriya, Youmi Ma, Naoaki Okazaki, Hiroya Takamura, Yohichi Suzuki, Tadashi Kadowaki:
QuantumBench: A Benchmark for Quantum Problem Solving. - Angelos Alexopoulos, Agorakis Bompotas, Nikitas-Rigas Kalogeropoulos, Panagiotis S. Kechagias, Athanasios P. Kalogeras, Christos Alexakos:
Digital Twin based Automatic Reconfiguration of Robotic Systems in Smart Environments. - Jiaming Liu, Dingwei Fan, Junyong Zhao, Chunlin Li, Haipeng Si, Liang Sun:
SpinalSAM-R1: A Vision-Language Multimodal Interactive System for Spine CT Segmentation. - Shangyu Lou:
Urban-MAS: Human-Centered Urban Prediction with LLM-Based Multi-Agent System. - Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li:
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation. - Nils Porsche, Flurin Müller-Diesing, Sweta Banerjee, Miguel Goncalves, Marc Aubreville:
A filtering scheme for confocal laser endomicroscopy (CLE)-video sequences for self-supervised learning. - Marios Impraimakis, Evangelia Nektaria Palkanoglou:
A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation. - Marios Impraimakis:
Deep recurrent-convolutional neural network learning and physics Kalman filtering comparison in dynamic load identification. - Yuchen Zhang, Hanyue Du, Chun Cao, Jingwei Xu:
Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving. - Vivan Doshi:
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers. - Rotem Ezra, Hedi Zisling, Nimrod Berman, Ilan Naiman, Alexey Gorkor, Liran Nochumsohn, Eliya Nachmani, Omri Azencot:
FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video. - Majid Memari, Krista Ruggles:
Artificial Intelligence in Elementary STEM Education: A Systematic Review of Current Applications and Future Challenges. - Anuj Gupta, Ann Shivers McNair:
Wayfinding through the AI wilderness: Mapping rhetorics of ChatGPT prompt writing on X (formerly Twitter) to promote critical AI literacies. - Piyushkumar Patel:
AI Powered High Quality Text to Video Generation with Enhanced Temporal Consistency. - Yi Zhang, Che Liu, Xiancong Ren, Hanchu Ni, Shuai Zhang, Zeyuan Ding, Jiayu Hu, Hanzhe Shan, Zhenwei Niu, Zhaoyang Liu, Yue Zhao, Junbo Qi, Qinfan Zhang, Dengjie Li, Yidong Wang, Jiachen Luo, Yong Dai, Jian Tang, Xiaozhu Ju:
Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence. - YingQiao Wang, Eric J. Bigelow, Boyi Li, Tomer D. Ullman:
Chain of Time: In-Context Physical Simulation with Image Generation Models. - Abel C. H. Chen:
A Comparative Study of Hybrid Post-Quantum Cryptographic X.509 Certificate Schemes. - Yanbing Mao, Yihao Cai, Lui Sha:
Real-DRL: Teach and Learn in Reality. - Hüseyin Göksu:
MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials. - Hanae Elmekki, Amanda Spilkin, Ehsan Zakeri, Antonela Mariel Zanuttini, Ahmed Alagha, Hani Sami, Jamal Bentahar, Lyes Kadem, Wen-Fang Xie, Philippe Pibarot, Rabeb Mizouni, Hadi Otrok, Azzam Mourad, Sami Muhaidat:
End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning. - Haoyuan Li, Yuanbo Tong, Yuchen Li, Zirui Wang, Chunhou Liu, Jiamou Liu:
Cognitive Alignment in Personality Reasoning: Leveraging Prototype Theory for MBTI Inference. - Avisek Naug, Antonio Guillen, Vineet Kumar, Scott Greenwood, Wesley Brewer, Sahand Ghorbanpour, Ashwin Ramesh Babu, Vineet Gundecha, Ricardo Luna Gutierrez, Soumyendu Sarkar:
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers. - Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Munther Salim, Shubhanker Banerjee, Eoin H. Oude Essink, Damien Fay, Soumyendu Sarkar:
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads. - Stanislav Selitskiy:
Real-time and Zero-footprint Bag of Synthetic Syllables Algorithm for E-mail Spam Detection Using Subject Line and Short Text Fields. - Md Selim Sarowar, Sungho Kim:
VLM6D: VLM based 6Dof Pose Estimation based on RGB-D Images. - Shoma Yagi, Jun Ichikawa, Genki Ichinose:
Analysis of Line Break prediction models for detecting defensive breakthrough in football. - Ran Xu, Yupeng Qi, Jingsen Feng, Xu Chu:
Engineering.ai: A Platform for Teams of AI Engineers in Computational Design. - Gaby Maroun, Salah Eddine Bekhouche, Fadi Dornaika:
Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation. - Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra:
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models. - Álvaro F. Silva, Alexandra Mendes, Ruben Martins:
Inferring multiple helper Dafny assertions with LLMs. - Lu Bowen:
Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features. - Siyu Xiao, Xindi Zhao, Tianhao Mao, Yiwei Wang, Yuqiao Chen, Hongyun Zhang, Jian Wang, Junjie Wang, Shuang Liu, Tupei Chen, Yang Liu:
Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells. - Bernd Bohnet, Rumen Dangovski, Kevin Swersky, Sherry Moore, Arslan Chaudhry, Kathleen Kenealy, Noah Fiedel:
A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios. - Kowshik Balasubramanian, Andre Williams, Ismail Butun:
Feature Importance Guided Random Forest Learning with Simulated Annealing Based Hyperparameter Tuning. - Angana Borah, Adrija Datta, Ashish S. Kumar, Raviraj Dave, Udit Bhatia:
Physiologically Active Vegetation Reverses Its Cooling Effect in Humid Urban Climates. - Qing Guo, Xinhang Li, Junyu Chen, Zheng Guo, Xiaocong Li, Lin Zhang, Lei Li:
A Dual Large Language Models Architecture with Herald Guided Prompts for Parallel Fine Grained Traffic Signal Control. - Yu Cui, Yujian Zhang, Lina Tao, Yang Li, Xinyu Yi, Zhibin Li:
End-to-End Dexterous Arm-Hand VLA Policies via Shared Autonomy: VR Teleoperation Augmented by Autonomous Hand VLA Policy for Efficient Data Collection. - Tahmid Hasan Sakib, Yago Romano Martinez, Brady Carter, Syed Rafay Hasan, Terry N. Guo:
Supply Chain Exploitation of Secure ROS 2 Systems: A Proof-of-Concept on Autonomous Platform Compromise via Keystore Exfiltration. - Janghoon Cho, Jungsoo Lee, Munawar Hayat, Kyuwoong Hwang, Fatih Porikli, Sungha Choi:
FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding. - Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong:
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing. - Justin Yu, Yide Shentu, Di Wu, Pieter Abbeel, Ken Goldberg, Philipp Wu:
EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations. - Katherine A. Rosenfeld, Cliff C. Kerr, Jessica Lundin:
What a diff makes: automating code migration with large language models. - Michael D. Moffitt:
ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus. - Shiman Zhang, Jinghan Zhou, Zhoufan Yu, Ningai Leng:
Study on Supply Chain Finance Decision-Making Model and Enterprise Economic Performance Prediction Based on Deep Reinforcement Learning. - Rahul Ghosh, Baishali Chaudhury, Hari Prasanna Das, Meghana Ashok, Ryan Razkenari, Sungmin Hong, Chun-Hao Liu:
CompAgent: An Agentic Framework for Visual Compliance Verification. - Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher:
Effectiveness of LLMs in Temporal User Profiling for Recommendation. - Hiba Ahsan, Byron C. Wallace:
Can SAEs reveal and mitigate racial biases of LLMs in healthcare? - Nicky Pochinkov, Yulia Volkova, Anna Vasileva, Sai V. R. Chereddy:
ParaScopes: What do Language Models Activations Encode About Future Text? - Mengfei Liang, Yiting Qu, Yukun Jiang, Michael Backes, Yang Zhang:
From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection. - Shaghayegh Fazliani, Madeleine Udell:
PDE-SHARP: PDE Solver Hybrids through Analysis and Refinement Passes. - Sami Davies, Venkatesan Guruswami, Xuandi Ren:
Scheduling Problems with Constrained Rejections. - Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo:
A Retrospect to Multi-prompt Learning across Vision and Language. - Ali Satvaty, Suzan Verberne, Fatih Turkmen:
EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs. - Faranak Akbarifar, Nooshin Maghsoodi, Sean P. Dukelow, Stephen H. Scott, Parvin Mousavi:
Reducing Robotic Upper-Limb Assessment Time While Maintaining Precision: A Time Series Foundation Model Approach. - Jovial Cheukam-Ngouonou, Ramiz Gindullin, Claude-Guy Quimper, Nicolas Beldiceanu, Rémi Douence:
Incremental Selection of Most-Filtering Conjectures and Proofs of the Selected Conjectures. - Shengqian Wang, Israt Jahan Jui, Julie Thorpe:
Is Crowdsourcing a Puppet Show? Detecting a New Type of Fraud in Online Platforms. - Leonardo Alberro, Noura Limam, Raouf Boutaba:
Towards Sub-millisecond Latency and Guaranteed Bit Rates in 5G User Plane. - Oorja Majgaonkar, Zhiwei Fei, Xiang Li, Federica Sarro, He Ye:
Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories. - Chun-Hao Yang, Bo-Han Feng, Tzu-Yuan Lai, Yan Yu Chen, Yin-Kai Dean Huang, Shou-De Lin:
Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap. - Jacqueline Mitchell, Yasser Shaaban:
Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification. - David Lüdke, Tom Wollschläger, Paul Ungermann, Stephan Günnemann, Leo Schwinn:
Diffusion LLMs are Natural Adversaries for any LLM. - Yuhan Deng, Akshay Srivatsan, Sebastian Ingino, Francis Chua, Yasmine Mitchell, Matthew Vilaysack, Keith Winstein:
Fix: externalizing network I/O in serverless computing. - Dirk U. Wulff, Rui Mata:
Advancing Cognitive Science with LLMs. - Di Hu, Xi Lu, Yunan Chen, Michelle Keller, An T. Nguyen, Vu Le, Tsung-Ting Kuo, Lucila Ohno-Machado, Kai Zheng:
Supporting Patients in Managing Electronic Health Records and Biospecimens Consent for Research: Insights from a Mixed-Methods Usability Evaluation of the iAGREE Portal. - Yiquan Wang, Yahui Ma, Yuhan Chang, Jiayao Yan, Jialin Zhang, Minnuo Cai, Kai Wei:
Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides. - Emilio Ancillotti, Loreto Pescosolido, Andrea Passarella:
Toward Hybrid COTS-based LiFi/WiFi Networks with QoS Requirements in Mobile Environments. - Wenxuan Zhang, Peng Hu:
An Efficient and Generalizable Transfer Learning Method for Weather Condition Detection on Ground Terminals. - Xiaomeng Xu, Zahin Wahab, Reid Holmes, Caroline Lemieux:
DocPrism: Local Categorization and External Filtering to Identify Relevant Code-Documentation Inconsistencies. - Rajatsubhra Chakraborty, Ana Espinosa-Momox, Riley Haskin, Depeng Xu, Rosario Porras-Aguilar:
DM-QPMNET: Dual-modality fusion network for cell segmentation in quantitative phase microscopy. - Pouya M. Ghari, Simone Sciabola, Ye Wang:
Iterative Foundation Model Fine-Tuning on Multiple Rewards. - Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques:
Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning. - Mohamed Barakat, Diane Guignard:
Convergence analysis for a tree-based nonlinear reduced basis method. - Sheer Karny, Anthony Baez, Pat Pataranutaporn:
Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI. - Fuming Yang, Yicong Li, Hanspeter Pfister, Jeff W. Lichtman, Yaron Meirovitch:
Towards 1000-fold Electron Microscopy Image Compression for Connectomics via VQ-VAE with Transformer Prior. - Rayehe Karimi Mahabadi, Jianfeng Lu, Hossein Salahshoor:
Approximating Young Measures With Deep Neural Networks. - Oisin O. Sullivan, Colin Flanagan, Eoin O'Connell:
Identifying Linux Kernel Instability Due to Poor RCU Synchronization. - Arne Burdack, Maximilian Stargardt, Christoph Winkler, Konrad Klein, Detlef Stolten, Jochen Linßen, Heidi Heinrichs:
Which Top Energy-Intensive Manufacturing Countries Can Compete in a Renewable Energy Future? - Yan Bin Ng, Xianfeng Gu:
Hyperbolic Optimal Transport. - Iain Smears:
An introduction to the a posteriori error analysis of parabolic partial differential equations. - Wadduwage Shanika Perera, ABM Rezbaul Islam, Vung V. Pham, Min Kyung An:
Melanoma Classification Through Deep Ensemble Learning and Explainable AI. - Shurui Gui, Deep Anil Patel, Xiner Li, Martin Renqiang Min:
Object-Aware 4D Human Motion Generation. - Sushil Khairnar:
Application of Blockchain Frameworks for Decentralized Identity and Access Management of IoT Devices. - Felix Bartel, Pascal Schröter:
Learning and Leveraging Anisotropy Parameters in ANOVA Approximation. - Aaron Sun, Subhransu Maji, Grant Van Horn:
Merlin L48 Spectrogram Dataset. - Chandra Chekuri, Guyslain Naves, Joseph Poremba, F. Bruce Shepherd:
Uncrossed Multiflows and Applications to Disjoint Paths. - Fangxun Liu, S. M. Rayeed, Samuel Stevens, Alyson East, Cheng Hsuan Chiang, Colin Lee, Daniel Yi, Junke Yang, Tejas Naik, Ziyi Wang, Connor Kilrain, Elijah H. Buckwalter, Jiacheng Hou, Saul Ibaven Bueno, Shuheng Wang, Xinyue Ma, Yifan Liu, Zhiyuan Tao, Ziheng Zhang, Eric R. Sokol, Michael Belitz, Sydne Record, Charles V. Stewart, Wei-Lun Chao:
BeetleFlow: An Integrative Deep Learning Pipeline for Beetle Image Processing. - Zachary Chase, Shinji Ito, Idan Mehalel:
A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice. - Andria J. Farrens, Luis Garcia-Fernandez, Raymond Rojas, Jillian Obeso Estrada, Dylan S. Reinsdorf, Vicky Chan, Disha Gupta, Joel C. Perry, Eric T. Wolbrecht, An Do, Steven C. Cramer, David J. Reinkensmeyer:
Tailored robotic training improves hand function and proprioceptive processing in stroke survivors with proprioceptive deficits: A randomized controlled trial. - Linzhe Jiang, Jiayuan Huang, Sophia Bano, Matthew J. Clarkson, Zhehua Mao, Mobarak I. Hoque:
MambaNetLK: Enhancing Colonoscopy Point Cloud Registration with Mamba. - Neha Balamurugan, Sarah Wu, Adam Chun, Gabe Gaw, Cristóbal Eyzaguirre, Tobias Gerstenberg:
Spot The Ball: A Benchmark for Visual Social Inference. - Romina Etezadi, Sallam Abualhaija, Chetan Arora, Lionel C. Briand:
LLM-Driven Cost-Effective Requirements Change Impact Analysis. - Jinyuan Chen:
COOL Is Optimal in Error-Free Asynchronous Byzantine Agreement. - Arman Anwar, Zefang Liu:
AgentBnB: A Browser-Based Cybersecurity Tabletop Exercise with Large Language Model Support and Retrieval-Aligned Scaffolding. - Aanchal Rajesh Chugh, Marion Neumeier, Sebastian Dorn:
X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction. - Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel:
Advancing AI Challenges for the United States Department of the Air Force. - Shounak Paul, Dhananjay Ghumare, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi:
IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval. - Long Li, Jiajia Li, Dong Chen, Lina Pu, Haibo Yao, Yanbo Huang:
FedReplay: A Feature Replay Assisted Federated Transfer Learning Framework for Efficient and Privacy-Preserving Smart Agriculture. - Abhinav Joshi, Vaibhav Sharma, Sanjeet Singh, Ashutosh Modi:
POSESTITCH-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation. - Saadat Izadi, Shakib Komasi, Ali Salimi, Alireza Rezaei, Mahmood Ahmadi:
Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks. - Michiel Straat, Thorben Markmann, Sebastian Peitz, Barbara Hammer:
Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning. - Sander de Jong, Jane Hsieh, Tzu-Sheng Kuo, Rune Møberg Jacobsen, Niels van Berkel, Haiyi Zhu:
Understanding, Demystifying and Challenging Perceptions of Gig Worker Vulnerabilities. - Mohammad Hadi Akbarzadeh, Mahmood Ahmadi, Mohammad Saeed Jahangiry, Jae Young Hur:
Reinforcement Learning for Resource Allocation in Vehicular Multi-Fog Computing. - Meituan LongCat Team:
LongCat-Flash-Omni Technical Report. - Abhinav Joshi, Areeb Ahmad, Ashutosh Modi:
Calibration Across Layers: Understanding Calibration Evolution in LLMs. - You-Jin Kim, Radha Kumaran, Ehsan Sayyad, Anne E. Milner, Tom Bullock, Barry Giesbrecht, Tobias Höllerer:
Investigating Search Among Physical and Virtual Objects Under Different Lighting Conditions. - Ashwin Gerard Colaco, Sharad Mehrotra, Michael J. De Lucia, Kevin W. Hamlen, Murat Kantarcioglu, Latifur Khan, Ananthram Swami, Bhavani Thuraisingham:
NOMAD - Navigating Optimal Model Application to Datastreams. - Christos N. Mavridis, Fernando S. Barbosa, Hamed Farhadi, Karl Henrik Johansson:
Learning a Network Digital Twin as a Hybrid System. - Michal Habera, Andreas Zilian:
Numerically stable evaluation of closed-form expressions for eigenvalues of 3 ⨉ 3 matrices. - Hengjia Li, Jianjin Xu, Keli Cheng, Lei Wang, Ning Bi, Boxi Wu, Fernando De la Torre, Deng Cai:
Multi-View Consistent Human Image Customization via In-Context Learning. - Lucas Almeida, Maycon Peixoto:
Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum. - Kosmas Alexandridis, Giorgos Dimitrakopoulos:
H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention. - Peng Wang, Zhengmao Li, Luis Badesa:
Analyzing the Impact of Demand Response on Short-Circuit Current via a Unit Commitment Model. - Linhan Fang, Xingpeng Li:
Optimal BESS Sizing and Placement for Mitigating EV-Induced Voltage Violations: A Scalable Spatio-Temporal Adaptive Targeting Strategy. - Ciaran Bench, Oskar Pfeffer, Vivek Desai, Mohammad Moulaeifard, Loic Coquelin, Peter H. Charlton, Nils Strodthoff, Nando Hegemann, Philip J. Aston, Andrew Thompson:
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis. - Baoshan Song, Ruijie Xu, Li-Ta Hsu:
FGO MythBusters: Explaining how Kalman Filter variants achieve the same performance as FGO in navigation applications. - Lee Xiong, Maksim Tkachenko, Johanes Effendi, Ting Cai:
Language Modeling With Factorization Memory. - Khakim Akhunov, Eren Yildiz, Kasim Sinan Yildirim:
PEARL: Power- and Energy-Aware Multicore Intermittent Computing. - Dana Kim, Yichen Xu, Tiffany Lin:
A Technical Exploration of Causal Inference with Hybrid LLM Synthetic Data. - Leonel Corado, Sérgio Godinho, Carlos Alberto Silva, Juan Guerra-Hernández, Francesco Valerio, Teresa Gonçalves, Pedro D. Salgueiro:
GEDICorrect: A Scalable Python Tool for Orbit-, Beam-, and Footprint-Level GEDI Geolocation Correction. - Dowon Kim, MinJae Lee, Janghyeon Kim, Hyucksung Kwon, Hyeonggyu Jeong, Sang-Soo Park, Minyong Yoon, Si-Dong Roh, Yongsuk Kwon, Jinin So, Jungwook Choi:
Scalable Processing-Near-Memory for 1M-Token LLM Inference: CXL-Enabled KV-Cache Management Beyond GPU Limits. - Isai Daniel Chacón, Paola Ruiz Puentes, Jillian Pearse, Pablo Arbeláez:
Towards Automated Petrography. - Masoud Makrehchi:
When Small Acts Scale: Ethical Thresholds in Network Diffusion. - Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse:
Sherlock: Reliable and Efficient Agentic Workflow Execution. - Weidong Zhang, Pak Lun Kevin Ding, Huan Liu:
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models. - Siva Sai, Manish Prasad, Animesh Bhargava, Vinay Chamola, Rajkumar Buyya:
Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems. - Adil Rasheed, Oscar Ravik, Omer San:
Large Language Models for Control. - Yuhao Fang, Zijian Wang, Yao Lu, Ye Zhang, Chun Li:
A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction. - Xinran Zheng, Leonardo Massai, Massimo Franceschetti, Behrouz Touri:
U-centrality: A Network Centrality Measure Based on Minimum Energy Control for Laplacian Dynamics. - Manan Roy Choudhury, Adithya Chandramouli, Mannan Anand, Vivek Gupta:
Better Call CLAUSE: A Discrepancy Benchmark for Auditing LLMs Legal Reasoning Capabilities. - Mihir Sahasrabudhe:
Reversal Invariance in Autoregressive Language Models. - Hendrio Bragança, Diego Kreutz, Vanderson Rocha, Joner Assolin, Eduardo Feitosa:
MH-1M: A 1.34 Million-Sample Comprehensive Multi-Feature Android Malware Dataset for Machine Learning, Deep Learning, Large Language Models, and Threat Intelligence Research. - Changbing Yang, Franklin Ma, Freda Shi, Jian Zhu:
LingGym: How Far Are LLMs from Thinking Like Field Linguists? - Xihang Qiu, Jiarong Cheng, Yuhao Fang, Wanpeng Zhang, Yao Lu, Ye Zhang, Chun Li:
Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities. - Amir Ziashahabi, Narges Ghasemi, Sajjad Shahabi, John Krumm, Salman Avestimehr, Cyrus Shahabi:
OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data. - Kayuã Oleques Paim, Rodrigo Brandão Mansilha, Diego Kreutz, Muriel Figueredo Franco, Weverton Cordeiro:
Exploiting Latent Space Discontinuities for Building Universal LLM Jailbreaks and Data Extraction Attacks. - Michael P. Hasselbeck:
Ultralow-power standoff acoustic leak detection. - Amir Ziashahabi, Yavuz Faruk Bakman, Duygu Nur Yaldiz, Mostafa El-Khamy, Sai Praneeth Karimireddy, Salman Avestimehr:
Reject Only Critical Tokens: Pivot-Aware Speculative Decoding. - Mohd Ruhul Ameen, Akif Islam:
Detecting AI-Generated Images via Diffusion Snap-Back Reconstruction: A Forensic Approach. - Niklas Wölki, Lukas Kondmann, Christian Mollière, Martin Langer, Julia Gottfriedsen, Martin Werner:
Transfer Learning for Onboard Cloud Segmentation in Thermal Earth Observation: From Landsat to a CubeSat Constellation. - Zhecheng Sheng, Jiawei Zhang, Enmao Diao:
Toward Unifying Group Fairness Evaluation from a Sparsity Perspective. - Adrita Rahman Tory, Khondokar Fida Hasan, Md Saifur Rahman, Nickolaos Koroniotis, Mohammad Ali Moni:
Mind the Gap: Missing Cyber Threat Coverage in NIDS Datasets for the Energy Sector. - Kayuã Oleques Paim, Angelo Gaspar Diniz Nogueira, Diego Kreutz, Weverton Cordeiro, Rodrigo Brandão Mansilha:
MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection. - Momen Khandoker Ope, Akif Islam, Mohd Ruhul Ameen, Abu Saleh Musa Miah, Md. Rashedul Islam, Jungpil Shin:
Oitijjo-3D: Generative AI Framework for Rapid 3D Heritage Reconstruction from Street View Imagery. - Yicheng Liu, Rafail Ostrovsky, Scott Shenker, Sam Kumar:
Fast Networks for High-Performance Distributed Trust. - Hao Gu, Tianjiao Wang, Xiang Xu, Yue Zhao:
A computational inverse random source problem for elastic waves. - Farjana Aktar, Mohd Ruhul Ameen, Akif Islam, Md. Ekramul Hamid:
Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet. - Chaochen Wu, Guan Luo, Meiyun Zuo, Zhitao Fan:
Who Can We Trust? Scope-Aware Video Moment Retrieval with Multi-Agent Conflict. - Erfan Al-Hossami, Razvan C. Bunescu:
Reasoning Trajectories for Socratic Debugging of Student Code: From Misconceptions to Contradictions and Updated Beliefs. - Xin Wang, Yunhao Xiao, Rui Qiao:
PolyRecommender: A Multimodal Recommendation System for Polymer Discovery. - Xiaoling Han, Bin Lin, Nan Wu, Ping Wang, Zhenyu Na, Miyuan Zhang:
Design of a Turbo-based Deep Semantic Autoencoder for Marine Internet of Things. - Jiahao Wang, Songkai Xue, Jinghui Li, Xiaozhen Wang:
Diverse Human Value Alignment for Large Language Models via Ethical Reasoning. - Jiaming Li, Junlei Wu, Sheng Wang, Honglin Xiong, Jiangdong Cai, Zihao Zhao, Yitao Zhu, Yuan Yin, Dinggang Shen, Qian Wang:
VisionCAD: An Integration-Free Radiology Copilot Framework. - Mina Taraghi, Yann Pequignot, Amin Nikanjam, Mohamed Amine Merzouk, Foutse Khomh:
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs. - Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, Curtis P. Langlotz, Andrew Y. Ng, Jeanne Shen:
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology. - Xiaoling Han, Bin Lin, Zhenyu Na, Bowen Li, Chaoyue Zhang, Ran Zhang:
Spatial Crowdsourcing-based Task Allocation for UAV-assisted Maritime Data Collection. - Fan Zhang, Haoxuan Li, Shengju Qian, Xin Wang, Zheng Lian, Hao Wu, Zhihong Zhu, Yuan Gao, Qiankun Li, Yefeng Zheng, Zhouchen Lin, Pheng-Ann Heng:
Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond. - Wanyun Zhou, Saizhuo Wang, Mihai Cucuringu, Zihao Zhang, Xiang Li, Jian Guo, Chao Zhang, Xiaowen Chu:
DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets. - Xuanle Zhao, Deyang Jiang, Zhixiong Zeng, Lei Chen, Haibo Qiu, Jing Huang, Yufeng Zhong, Liming Zheng, Yilin Cao, Lin Ma:
VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning. - Lingpeng Chen, Jiakun Tang, Apple Pui Yi Chui, Ziyang Hong, Junfeng Wu:
SonarSweep: Fusing Sonar and Vision for Robust 3D Reconstruction via Plane Sweeping. - Long Li, Shuichen Ji, Ziyang Luo, Nian Liu, Dingwen Zhang, Junwei Han:
CoT-Saliency: Unified Chain-of-Thought Reasoning for Heterogeneous Saliency Tasks. - Mohammad Shirzadi, Emilio Cruciani, Ahad N. Zehmakan:
Opinion Dynamics: A Comprehensive Overview. - Lucky Onyekwelu-Udoka, Md Shafiqul Islam, Md Shahedul Hasan:
Emotion Detection in Speech Using Lightweight and Transformer-Based Models: A Comparative and Ablation Study. - Wentao Peng, Ruyi Ji, Yingfei Xiong:
Equality Saturation Guided by Large Language Models. - Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su:
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings. - Lukasz Sikorski, Jacek Matulewski:
Reducing students' misconceptions about video game development. A mixed-method study. - Xiaoqi Li, Wenkai Li, Zhiquan Liu, Yuqing Zhang, Yingjie Mao:
Penetrating the Hostile: Detecting DeFi Protocol Exploits through Cross-Contract Analysis. - Zenghao Niu, Weicheng Xie, Siyang Song, Zitong Yu, Feng Liu, Linlin Shen:
Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling. - John A. Christian, Michael R. Walker II, Wyatt Bridgman, Michael J. Sparapany:
Runge-Kutta Approximations for Direct Coning Compensation Applying Lie Theory. - Shaojie Wang, Jinghui Wang, Yinghan Cui, Xuxing Chen, Chao Wang, Liang Huang, Xiaojiang Zhang, Junyi Peng, Li Wan, Haotian Zhang, Bin Chen:
Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse. - Sirintra Vaiwsri, Thilina Ranbaduge:
Embedding based Encoding Scheme for Privacy Preserving Record Linkage. - Jotaro Yano:
Zero-Knowledge Extensions on Solana: A Theory of ZK Architecture. - Yiwei Zha, Rui Min, Shanu Sushmita:
PADBen: A Comprehensive Benchmark for Evaluating AI Text Detectors Against Paraphrase Attacks. - Marcel Valový:
Human-AI Programming Role Optimization: Developing a Personality-Driven Self-Determination Framework. - Victory Obieke, Emmanuel Oguadimma:
Structure-Preserving Physics-Informed Neural Network for the Korteweg-de Vries (KdV) Equation. - Thanh Hieu Cao, Trung Khang Tran, Gia Thinh Pham, Tuong Nghiem Diep, Thanh Binh Nguyen:
LGCA: Enhancing Semantic Representation via Progressive Expansion. - Ali Taghavian, Ali Safi, Esmaeel Khanmirza:
Constrained computational hybrid controller for Input Affine Hybrid Dynamical Systems. - Naoto Iwase, Hiroki Okuyama, Junichiro Iwasawa:
MedRECT: A Medical Reasoning Benchmark for Error Correction in Clinical Texts. - Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi Tomizuka, Shengbo Eben Li:
Bootstrap Off-policy with World Model. - Ashutosh Anshul, Gumpili Sai Pranav, Mohammad Zia Ur Rehman, Nagendra Kumar:
A Multimodal Framework for Depression Detection during Covid-19 via Harvesting Social Media: A Novel Dataset and Method. - Daichi Zhang, Tong Zhang, Jianmin Bao, Shiming Ge, Sabine Süsstrunk:
Leveraging Hierarchical Image-Text Misalignment for Universal Fake Image Detection. - Kazuya Yokota, Ryosuke Harakawa, Masaaki Baba, Masahiro Iwahashi:
Physics-Informed Neural Networks for Speech Production. - Daichi Zhang, Tong Zhang, Shiming Ge, Sabine Süsstrunk:
Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection. - Zhiwen Ruan, Yixia Li, Yefeng Liu, Yun Chen, Weihua Luo, Peng Li, Yang Liu, Guanhua Chen:
G2: Guided Generation for Enhanced Output Diversity in LLMs. - Andrea Angino, Matteo Aurina, Alena Kopanicáková, Matthias Voigt, Marco Donatelli, Rolf Krause:
Trust-Region Methods with Low-Fidelity Objective Models. - Doyun Choi, Cheonwoo Lee, Jaemin Yoo:
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals. - Pavan Kumar Mangipudi, Sharon Boamah, Lorenz Carvajal, Janise McNair:
COHERE - Congestion-aware Offloading and Handover via Empirical RAT Evaluation for Multi-RAT Networks. - Ruthwik Reddy Doodipala, Pankaj Pandey, Carolina Torres Rojas, Manob Jyoti Saikia, Ranganatha Sitaram:
Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model. - Benjamin Clavié, Xianming Li, Antoine Chaffin, Omar Khattab, Tom Aarsen, Manuel Faysse, Jing Li:
LIR: The First Workshop on Late Interaction and Multi Vector Retrieval @ ECIR 2026. - Xin Yao, Haiyang Zhao, Yimin Chen, Jiawei Guo, Kecheng Huang, Ming Zhao:
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training. - Ruofan Liu, Yun Lin, Jin Song Dong:
DRIP: Defending Prompt Injection via De-instruction Training and Residual Fusion Model Architecture. - Vahid Etemadi, Gregorio Robles:
SmartDoc: A Context-Aware Agentic Method Comment Generation Plugin. - Jiale Han, Wei Ouyang, Maoran Zhu, Yuanxin Wu:
CT-ESKF: A General Framework of Covariance Transformation-Based Error-State Kalman Filter. - Kiran Shahi, Anup Bagale:
Weakly Supervised Pneumonia Localization from Chest X-Rays Using Deep Neural Network and Grad-CAM Explanations. - Chunyu Wei, Wenji Hu, Xingjia Hao, Xin Wang, Yifan Yang, Yueguo Chen, Yang Tian, Yunhai Wang:
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining. - Mohammed N. Swileh, Shengli Zhang:
Proactive DDoS Detection and Mitigation in Decentralized Software-Defined Networking via Port-Level Monitoring and Zero-Training Large Language Models. - Xin Chen, Saili Uday Gadgil, Kangning Gao, Yi Hu, Cong Nie:
Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders. - Liu Wang, Dong Wang, Shidong Pan, Zheng Jiang, Haoyu Wang, Yi Wang:
A Big Step Forward? A User-Centric Examination of iOS App Privacy Report and Enhancements. - Panwang Pan, Tingting Shen, Chenxin Li, Yunlong Lin, Kairun Wen, Jingjing Zhao, Yixuan Yuan:
HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation. - Zhongxiang Lei, Qi Yang, Ping Qiu, Gang Zhang, Yuanchi Ma, Jinyan Liu:
Why Federated Optimization Fails to Achieve Perfect Fitting? A Theoretical Perspective on Client-Side Optima. - Ryuhei Mizutani:
An Approximation Algorithm for Monotone Submodular Cost Allocation. - Navodini Wijethilake, Marina Ivory, Oscar MacCormac, Siddhant Kumar, Aaron Kujawa, Lorena Garcia-Foncillas Macias, Rebecca Burger, Amanda Hitchings, Suki Thomson, Sinan Barazi, Eleni Maratos, Rupert Obholzer, Dan Jiang, Fiona McClenaghan, Kazumi Chia, Omar Al-Salihi, Nick Thomas, Steve Connor, Tom Vercauteren, Jonathan Shapey:
Longitudinal Vestibular Schwannoma Dataset with Consensus-based Human-in-the-loop Annotations. - Travis Barrett, Amit Kumar Mishra, Joyce Mwangama:
Variational Autoencoder for Calibration: A New Approach. - Ghazal Kalhor, Afra Mashhadi:
Remembering Unequally: Global and Disciplinary Bias in LLM-Generated Co-Authorship Networks. - Weihao Bo, Yanpeng Sun, Yu Wang, Xinyu Zhang, Zechao Li:
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts. - Rahul Mishra, Sudhanshu Kumar Jha, Omar Faruq Osama, Bishnu Bhusal, Sneha Sudhakaran, Naresh Kshetri:
An Efficient Anomaly Detection Framework for Wireless Sensor Networks Using Markov Process. - Pooja Singh, Shashwat Bhardwaj, Vaibhav Sharma, Sandeep Kumar:
Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus. - Stephen Meisenbacher, Florian Matthes:
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting. - Jun Gao, Yun Peng, Xiaoxue Ren:
\texttt{ReMind}: Understanding Deductive Code Reasoning in LLMs. - Jiani Guo, Zuchao Li, Jie Wu, Qianren Wang, Yun Li, Lefei Zhang, Hai Zhao, Yujiu Yang:
ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models. - Simon Giel, James Hurrell, Shreya Santra, Ashutosh Mishra, Kentaro Uno, Kazuya Yoshida:
Design and Development of a Modular Bucket Drum Excavator for Lunar ISRU. - Peng Zhang, Vitaly Petrov, Emil Björnson:
Impact of Antenna Arrays Misalignment on the Near Field Distance in Terahertz Communications. - Panwang Pan, Chenguo Lin, Jingjing Zhao, Chenxin Li, Yuchen Lin, Haopeng Li, Honglei Yan, Kairun Wen, Yunlong Lin, Yixuan Yuan, Yadong Mu:
Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models. - Dang H. Nguyen, Hieu H. Pham, Hao T. Nguyen, Hieu H. Pham:
VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning. - Qi Luo, Xiaonan Li, Junqi Dai, Shuang Cheng, Xipeng Qiu:
Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge. - Renjun Gao, Xiangjie Kong, Dongting Cai, Boyi Fu, Junxiang Yang:
Three-dimensional narrow volume reconstruction method with unconditional stability based on a phase-field Lagrange multiplier approach. - Yifan Xia, Guorui Chen, Wenqian Yu, Zhijiang Li, Philip Torr, Jindong Gu:
Reimagining Safety Alignment with An Image. - Kai Luo, Hao Shi, Kunyu Peng, Fei Teng, Sheng Wu, Kaiwei Wang, Kailun Yang:
OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback. - Panwang Pan, Jingjing Zhao, Yuchen Lin, Chenguo Lin, Chenxin Li, Haopeng Li, Honglei Yan, Tingting Shen, Yadong Mu:
ID-Composer: Multi-Subject Video Synthesis with Hierarchical Identity Preservation. - Suraj Kumar, Andy Ruina:
Descriptive Model-based Learning and Control for Bipedal Locomotion. - Birat Poudel, Satyam Ghimire, Er. Prakash Chandra Prasad:
Fine-Tuning DialoGPT on Common Diseases in Rural Nepal for Medical Conversations. - Peiyi Wang, Paul A. M. Lefeuvre, Shangwei Zou, Zhenwei Ni, Daniela Rus, Cecilia Laschi:
Adaptive and Multi-object Grasping via Deformable Origami Modules. - Shuochuan Li, Dong Wang, Patanamon Thongtanunam, Zan Wang, Jiuqiao Yu, Junjie Chen:
Issue-Oriented Agent-Based Framework for Automated Review Comment Generation. - Ariyan Hossain, Khondokar Mohammad Ahanaf Hannan, Rakinul Haque, Nowreen Tarannum Rafa, Humayra Musarrat, Shoaib Ahmed Dipu, Farig Yousuf Sadeque:
Exploring and Mitigating Gender Bias in Encoder-Based Transformer Models. - Bao Nguyen, Hieu Trung Nguyen, Ruifeng She, Xiaojin Fu, Viet Anh Nguyen:
Reasoning Planning for Language Models. - Fangyu Wu, Yujun Cai:
SegDebias: Test-Time Bias Mitigation for ViT-Based CLIP via Segmentation. - Jihao Gu, Kun Li, He Wang, Kaan Aksit:
Text-guided Fine-Grained Video Anomaly Detection. - Robab Aghazadeh Chakherlou, Qing Guo, Siddartha Khastgir, Peter T. Popov, Xiaoge Zhang, Xingyu Zhao:
HIP-LLM: A Hierarchical Imprecise Probability Approach to Reliability Assessment of Large Language Models. - Muhammad Hamid Raza Mookadam, Ridewaan Hanslo:
Employee Performance when Implementing Agile Practices in an IT Workforce. - Botao Amber Hu:
On Improvisation and Open-Endedness: Insights for Experiential AI. - Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao:
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction. - Chana Weil-Kennedy, Darine Rammal, Christophe Gaston, Arnault Lapitre:
Runtime Verification of Interactions Using Automata. - Dragos-Andrei Serban, Razvan-Alexandru Smadu, Dumitru-Clementin Cercel:
Air Pollution Forecasting in Bucharest. - Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu:
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. - Peter Atandoh, Jie Zou, Weikang Guo, Jiwei Wei, Zheng Wang:
Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction. - Wenbing Zhu, Chengjie Wang, Bin-Bin Gao, Jiangning Zhang, Guannan Jiang, Jie Hu, Zhenye Gan, Lidong Wang, Ziqing Zhou, Linjie Cheng, Yurui Pan, Bo Peng, Mingmin Chi, Lizhuang Ma:
Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era. - Kailun Su, Ziqi He, Xi Wang, Yang Zhou:
MIFO: Learning and Synthesizing Multi-Instance from One Image. - Yunchuan Guan, Yu Liu, Ke Zhou, Hui Li, Sen Jia, Zhiqi Shen, Ziyang Wang, Xinglin Zhang, Tao Chen, Jenq-Neng Hwang, Lei Li:
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance. - Alain Riou:
Efficient Generation of Binary Magic Squares. - Qiang Li, Jin Niu, Lina Yu:
Robust Single-Agent Reinforcement Learning for Regional Traffic Signal Control Under Demand Fluctuations. - Qiang Li, Ningjing Zeng, Lina Yu:
Single-agent Reinforcement Learning Model for Regional Adaptive Traffic Signal Control. - Santhi Bharath Punati, Sandeep Kanta, Udaya Bhasker Cheerala, Madhusudan G. Lanjewar, Praveen Damacharla:
Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales. - Phil Blandfort, Robert Graham:
Red-teaming Activation Probes using Prompted LLMs. - Dianye Huang, Nassir Navab, Zhongliang Jiang:
Improving Robustness to Out-of-Distribution States in Imitation Learning via Deep Koopman-Boosted Diffusion Policy. - Peng Ding, Jun Kuang, Wen Sun, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang:
Friend or Foe: How LLMs' Safety Mind Gets Fooled by Intent Shift Attack. - Mikhail A. Botchev:
Accuracy and stability of the hyperbolic model time integration scheme revisited. - Chun-Tin Wu, Jun-Cheng Chen:
4D Neural Voxel Splatting: Dynamic Scene Rendering with Voxelized Guassian Splatting. - Shuaijun Li, Jie Tang, Beixiong Zheng, Lipeng Zhu, Cui Yang, Nan Zhao, Xiu Yin Zhang, Kai-Kit Wong:
Rotatable Antenna System Empowered Low-Altitude Economy: Opportunities and Challenges. - Varun Teja Chirukiri, Udaya Bhasker Cheerala, Sandeep Kanta, Abdul Karim, Praveen Damacharla:
FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction. - Tianheng Xu, Runke Fan, Jie Zhu, Pei Peng, Xianfu Chen, Qingqing Wu, Ming Jiang, Celimuge Wu, Dusit Niyato, Kai-Kit Wong:
Advancing Fluid Antenna-Assisted Non-Terrestrial Networks in 6G and Beyond: Fundamentals, State of the Art, and Future Directions. - Wei Feng, Zongyuan Ge:
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective. - Yinghuan Zhang, Yufei Zhang, Parisa Kordjamshidi, Zijun Cui:
Bayesian Network Structure Discovery Using Large Language Models. - Juan Gabriel Kostelec, Qinghai Guo:
FlashEVA: Accelerating LLM inference via Efficient Attention. - Gianluigi Pillonetto, Alberto Giaretta, Aleksandr Y. Aravkin, Mauro Bisiacco, Timothy C. Elston:
Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology. - Yousuf Ahmed Siddiqui, Sufiyaan Usmani, Umer Tariq, Jawwad Ahmed Shamsi, Muhammad Burhan Khan:
TRACES: Temporal Recall with Contextual Embeddings for Real-Time Video Anomaly Detection. - Carsten Hartmann, Nil Rodellas-Gràcia, Christian Wallisch, Thiemo Pesch, Frank K. Wilhelm, Dirk Witthaut, Tobias Stollenwerk, Andrea Benigni:
Towards Quantum Algorithms for the Optimization of Spanning Trees: The Power Distribution Grids Use Case. - Ke Shi, Yan Zhang, Miao Zhang, Lifan Chen, Jiali Yi, Kui Xiao, Xiaoju Hou, Zhifei Li:
Structurally Refined Graph Transformer for Multimodal Recommendation. - Dong Chen, Yanzhe Wei, Zonglin He, Guan-Ming Kuang, Canhua Ye, Meiru An, Huili Peng, Yong Hu, Huiren Tao, Kenneth M. C. Cheung:
Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation. - Rares Folea, Emil-Ioan Slusanschi:
A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times. - Massinissa Merouani, Islem Kara Bernou, Riyadh Baghdadi:
Agentic Auto-Scheduling: An Experimental Study of LLM-Guided Loop Optimization. - Aayushya Agarwal, Jace Rozsa, Matteo Pozzi, Rahul Panat, Gary K. Fedder:
Digital Twin of Aerosol Jet Printing. - Feng Guo, Luis D. Couto, Guillaume Thenaisie:
Efficiency and Optimality in Electrochemical Battery Model Parameter Identification: A Comparative Study of Estimation Techniques. - Wai-Chung Kwan, Joshua Ong Jun Leang, Pavlos Vougiouklis, Jeff Z. Pan, Marco Valentino, Pasquale Minervini:
OpenSIR: Open-Ended Self-Improving Reasoner. - Yubo Wang, Yubo Cui, Tuo Shi, Danyang Li, Wenxin Li, Lide Suo, Tao Wang, Xin Xie:
EPARA: Parallelizing Categorized AI Inference in Edge Clouds. - Jameson Sandler, Jacob K. Christopher, Thomas Hartvigsen, Ferdinando Fioretto:
SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding. - Shengqi Xu, Xinpeng Zhou, Yabo Zhang, Ming Liu, Tao Liang, Tianyu Zhang, Yalong Bai, Zuxuan Wu, Wangmeng Zuo:
PreferThinker: Reasoning-based Personalized Image Preference Assessment. - Yating Yu, Congqi Cao, Zhaoying Wang, Weihua Meng, Jie Li, Yuxin Li, Zihao Wei, Zhongpei Shen, Jiajun Zhang:
CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World. - Daniel Griffiths, Piper Moskow:
Gaining Momentum: Uncovering Hidden Scoring Dynamics in Hockey through Deep Neural Sequencing and Causal Modeling. - Eric J. Bigelow, Daniel Wurgaft, YingQiao Wang, Noah D. Goodman, Tomer D. Ullman, Hidenori Tanaka, Ekdeep Singh Lubana:
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering. - Huaijin Ran, Haoyi Zhang, Xunzhu Tang:
GDPR-Bench-Android: A Benchmark for Evaluating Automated GDPR Compliance Detection in Android. - Autumn Toney-Wails, Ryan Wails:
Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios. - Junhong Liu, Lanxin Du, Yujia Li, Rong-Peng Liu, Fei Teng, Francis Yunhe Hou:
Adaptive Federated Learning to Optimize the MultiCast flows in Data Centers. - Haoyi Zhang, Huaijin Ran, Xunzhu Tang:
Can Large Language Models Detect Real-World Android Software Compliance Violations? - Alexis Saurin:
Proceedings Twelfth Workshop on Fixed Points in Computer Science. - Jean Barré, Olga Seminck, Antoine Bourgois, Thierry Poibeau:
Modeling the Construction of a Literary Archetype: The Case of the Detective Figure in French Literature. - Yang Li, Siqi Ping, Xiyu Chen, Xiaojian Qi, Zigan Wang, Ye Luo, Xiaowei Zhang:
AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems. - Mark Kocherovsky, Illya Bakurov, Wolfgang Banzhaf:
Node Preservation and its Effect on Crossover in Cartesian Genetic Programming. - Hyungtae Lim, Daebeom Kim, Hyun Myung:
Multi-Mapcher: Loop Closure Detection-Free Heterogeneous LiDAR Multi-Session SLAM Leveraging Outlier-Robust Registration for Autonomous Vehicles. - Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke, Patrick Rebeschini:
Stochastic Shortest Path with Sparse Adversarial Costs. - Taulant Kerci, Federico Milano:
Frequency Quality Assessment of GFM and GFL Converters and Synchronous Condensers. - Zicheng Xu, Guanchu Wang, Yu-Neng Chuang, Guangyao Zheng, Alexander S. Szalay, Zirui Liu, Vladimir Braverman:
DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching. - Swapnil Bhosale, Cosmin Frateanu, Camilla Clark, Arnoldas Jasonas, Chris Mitchell, Xiatian Zhu, Vamsi Krishna Ithapu, Giacomo Ferroni, Cagdas Bilen, Sanjeel Parekh:
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks. - Oluwatosin Alabi, Meng Wei, Charlie Budd, Tom Vercauteren, Miaojing Shi:
Grounding Surgical Action Triplets with Instrument Instance Segmentation: A Dataset and Target-Aware Fusion Approach. - Cécile Bouette, Michèle A. Wigger:
Multi-Sensor Distributed Hypothesis Testing in the Low-Power Regime. - C. Díaz-Faloh, R. Mulet:
Diluting Restricted Boltzmann Machines. - Chenhua Shi, Bhavika Jalli, Gregor Macdonald, John Zou, Wanlu Lei, Mridul Jain, Joji Philip:
Leveraging Multi-Agent System (MAS) and Fine-Tuned Small Language Models (SLMs) for Automated Telecom Network Troubleshooting. - Lassi Ruoppa, Tarmo Hietala, Verneri Seppänen, Josef Taher, Teemu Hakala, Xiaowei Yu, Antero Kukko, Harri Kaartinen, Juha Hyyppä:
Benchmarking individual tree segmentation using multispectral airborne laser scanning data: the FGI-EMIT dataset. - Jaime Banks:
Measuring Machine Companionship: Scale Development and Validation for AI Companions. - Baris Askin, Holger R. Roth, Zhenyu Sun, Carlee Joe-Wong, Gauri Joshi, Ziyue Xu:
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning. - Eshaan Tanwar, Anwoy Chatterjee, Michael Saxon, Alon Albalak, William Yang Wang, Tanmoy Chakraborty:
Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge. - Guilherme H. Travassos, Sabrina Rocha, Rodrigo Feitosa Gonçalves, Felipe Assis, Patrícia Gonçalves, Andre Gheventer, Larissa Galeno, Arthur Sasse, Julio Cesar Guimarães, Carlos Brito, Joao Pedro Wieland:
Lessons Learned from the Use of Generative AI in Engineering and Quality Assurance of a WEB System for Healthcare. - Wang Chen, Heye Huang, Ke Ma, Hangyu Li, Shixiao Liang, Hang Zhou, Xiaopeng Li:
Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior. - Alex Dobra, Jakiw Pidstrigach, Tim Reichelt, Christian Schröder de Witt, Philip Torr, Philip Stier:
Sensitivity Analysis for Climate Science with Generative Flow Models. - Kasimir Schulz, Amelia Kawasaki, Leo Ring:
ShadowLogic: Backdoors in Any Whitebox LLM. - Zhiyang Ning, Benjamin Peherstorfer:
Filtered Neural Galerkin model reduction schemes for efficient propagation of initial condition uncertainties in digital twins. - Dominik Drexler:
Lifted Successor Generation in Numeric Planning. - Tasmia Zerin, Moumita Asad, B. M. Mainul Hossain, Kazi Sakib:
Repairing Responsive Layout Failures Using Retrieval Augmented Generation. - Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez, Paul Wright, Mehmet Yigitsoy, Sébastien Ourselin, Jorge Cardoso:
Metadata-Aligned 3D MRI Representations for Contrast Understanding and Quality Control. - Hailing Wang, Jianglin Lu, Yitian Zhang, Yun Fu:
Outlier-Aware Post-Training Quantization for Image Super-Resolution. - Alex Inch, Passawis Chaiyapattanaporn, Yuchen Zhu, Yuan Lu, Ting-Wen Ko, Davide Paglieri:
Evolve to Inspire: Novelty Search for Diverse Image Generation. - Berk Atil, Rebecca J. Passonneau, Fred Morstatter:
Do Methods to Jailbreak and Defend LLMs Generalize Across Languages? - Ke Chen, Adrian Dumitrescu:
A Couple of Simple Algorithms for k-Dispersion. - Saba Latif, Huma Latif, Muhammad Rameez Ur Rahman:
Object-Centric Analysis of XES Event Logs: Integrating OCED Modeling with SPARQL Queries. - Uthman Jinadu, Siawpeng Er, Le Yu, Chen Liang, Bingxin Li, Yi Ding, Aleksandar Velkoski:
Taxonomy-based Negative Sampling In Personalized Semantic Search for E-commerce. - Taifour Yousra, Azeddine Beghdadi, Marie Luong, Zuheng Ming:
Toward Better Optimization of Low-Dose CT Enhancement: A Critical Analysis of Loss Functions and Image Quality Assessment Metrics. - Sophie Li, Nicholas Huang, Nayan Saxena, Nina Luo, Vincent Lin, Kevin Zhu, Sunishchal Dev:
Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals. - Penghang Liu, Haibei Zhu, Eleonora Kreacic, Svitlana Vyetrenko:
Privacy-Aware Time Series Synthesis via Public Knowledge Distillation. - Alberto Di Biase:
Applying Medical Imaging Tractography Techniques to Painterly Rendering of Images. - Morgan P. Lee, Artem Frenk, Eamon Worden, Karish Gupta, Thinh Pham, Ethan A. Croteau, Neil T. Heffernan:
Investigating the Robustness of Knowledge Tracing Models in the Presence of Student Concept Drift. - Marcos Vinicius Cruz, Pragya Verma, Grischa Liebel:
An Empirical Investigation of the Experiences of Dyslexic Software Engineers. - Zoha Azimi Ourimi, Reza Farahani, Vignesh V. Menon, Christian Timmerer:
Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming. - Veronica Bossio Botero, Vijay Yadav, Jacob Ouyang, Anzar Abbas, Michelle Worthington:
A Voice-Enabled Virtual Patient System for Interactive Training in Standardized Clinical Assessment. - Minghe Shen, Zhuo Zhi, Chonghan Liu, Shuo Xing, Zhengzhong Tu, Che Liu:
Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries. - Nardeep Kumar, Arun Kanwar:
TRISKELION-1: Unified Descriptive-Predictive-Generative AI. - Rama Kassoumeh, David Rügamer, Henning Oppel:
Enhancing Heavy Rain Nowcasting with Multimodal Data: Integrating Radar and Satellite Observations. - Hugo Massaroli, Hernan Chaves, Pilar Anania, Mauricio Farez, Emmanuel Iarussi, Viviana Siless:
Validating Deep Models for Alzheimer's 18F-FDG PET Diagnosis Across Populations: A Study with Latin American Data. - Mahya Qorbani, Kamran Paynabar, Mohsen Moghaddam:
Teaching LLMs to See and Guide: Context-Aware Real-Time Assistance in Augmented Reality. - Zainab Aizaz, James C. Knight, Thomas Nowotny:
FeNN-DMA: A RISC-V SoC for SNN acceleration. - Tyler Christeson, Md Habib Ullah, Ali Arabnya, Amin Khodaei, Rui Fan:
Hybrid Quantum-Classical Optimization of the Resource Scheduling Problem. - José Pablo Lucero Lorca:
Towards a Multigrid Preconditioner Interpretation of Hierarchical Poincaré-Steklov Solvers. - Tyler Christeson, Amin Khodaei, Rui Fan:
Quantum Computing for EVs to Enhance Grid Resilience and Disaster Relief: Challenges and Opportunities. - Jaewoo Park, Chenghao Quan, Jongeun Lee:
EP-HDC: Hyperdimensional Computing with Encrypted Parameters for High-Throughput Privacy-Preserving Inference. - Maksim Konoplia, Dmitrii Khizbullin:
Towards classification-based representation learning for place recognition on LiDAR scans. - Ritik Raj, Hong Wang, Tushar Krishna:
A CPU-Centric Perspective on Agentic AI. - Igor Engel, Ekaterina Verbitskaia:
Typed Embedding of miniKanren for Functional Conversion. - Xiaoyang Tian, Hui Wang, Boshuo Wang, Jinshui Zhang, Dong Yan, Jeannette Ingabire, Samantha Coffler, Guillaume Duret, Quoc-Khanh Pham, Gang Bao, Jacob T. Robinson, Stefan M. Goetz, Angel V. Peterchev:
High-Power Dual-Channel Field Chamber for High-Frequency Magnetic Neuromodulation. - Zixuan Ma, Chenfeng Huang:
Effective Series Decomposition and Components Learning for Time Series Generation. - Yi Yang, Jian Pei, Jun Yang, Jichun Xie:
Finding Non-Redundant Simpson's Paradox from Multidimensional Data. - Tanvi Dinkar, Aiqi Jiang, Gavin Abercrombie, Ioannis Konstas:
Erasing 'Ugly' from the Internet: Propagation of the Beauty Myth in Text-Image Models. - Kokila Kasuni Perera, Frank Neumann, Aneta Neumann:
Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions. - Chiyan Loo:
Reevaluating Self-Consistency Scaling in Multi-Agent Systems. - Hong Su:
Active Thinking Model: A Goal-Directed Self-Improving Framework for Real-World Adaptive Intelligence. - Sitao Ling, Wenxuan Ma, Musheng Wei:
Generalized singular value decompositions of dual quaternion matrices and beyond. - Leonardo Kanashiro Felizardo, Edoardo Fadda, Mariá Cristina Vasconcelos Nascimento:
Automatic Policy Search using Population-Based Hyper-heuristics for the Integrated Procurement and Perishable Inventory Problem. - Wanda Hou, Leon Zhou, Hong-Ye Hu, Yi-Zhuang You, Xiao-Liang Qi:
How Focused Are LLMs? A Quantitative Study via Repetitive Deterministic Prediction Tasks. - Shi Gengtian, Jiang Liu, Shigeru Shimamoto:
Deep Q-Network for Optimizing NOMA-Aided Resource Allocation in Smart Factories with URLLC Constraints. - Guodong Wang, Hongwei Liu, Jinquan Luo:
Improved Decoding Algorithms for MDS and Almost-MDS Codesfrom Twisted GRS Codes. - Shi Gengtian, Takashi Koshimizu, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto:
Power Control Based on Multi-Agent Deep Q Network for D2D Communication. - Peiru Wu, Maojun Zhai, Lingzhu Zhang:
A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks. - Raymond M. Xiong, Panyu Chen, Tianze Dong, Jian Lu, Benjamin Goldstein, Danyang Zhuo, Anru R. Zhang:
Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints. - Eldred Lee, Nicholas Worley, Koshu Takatsuji:
Quantifying truth and authenticity in AI-assisted candidate evaluation: A multi-domain pilot analysis. - Cuiyun Gao, Guodong Fan, Chun Yong Chong, Shizhan Chen, Chao Liu, David Lo, Zibin Zheng, Qing Liao:
A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI. - Anis Suttan Shahrir, Zakiah Ayop, Syarulnaziah Anawar, Norulzahrah Mohd. Zainudin:
A Hybrid YOLOv5-SSD IoT-Based Animal Detection System for Durian Plantation Protection. - Chenyu Zhao, Shenglin Zhang, Zeshun Huang, Weilin Jin, Yongqian Sun, Dan Pei, Chaoyun Zhang, Qingwei Lin, Chetan Bansal, Saravan Rajmohan, Minghua Ma:
Can Language Models Go Beyond Coding? Assessing the Capability of Language Models to Build Real-World Systems. - Jifan Gao, Michael H. Rosenthal, Brian Wolpin, Simona Cristea:
Count-Based Approaches Remain Strong: A Benchmark Against Transformer and LLM Pipelines on Structured EHR. - Jingzehua Xu, Weihang Zhang, Yangyang Li, Hongmiaoyi Zhang, Guanwen Xie, Jiwei Tang, Shuai Zhang, Yi Li:
When Semantics Connect the Swarm: LLM-Driven Fuzzy Control for Cooperative Multi-Robot Underwater Coverage. - Juan Wang, Yasutomo Kawanishi, Tomo Miyazaki, Zhijie Wang, Shinichiro Omachi:
Class-agnostic 3D Segmentation by Granularity-Consistent Automatic 2D Mask Tracking. - Akshay Sai Banderwaar, Abhishek Gupta:
Fast PINN Eigensolvers via Biconvex Reformulation. - Barathi Subramanian, Rathinaraja Jeyaraj, Anand Paul, Kapilya Gangadharan:
Rhythm in the Air: Vision-based Real-Time Music Generation through Gestures. - Yan Sun, Jia Guo, Stanley Kok, Zihao Wang, Zujie Wen, Zhiqiang Zhang:
Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration. - Viswa Chaitanya Marella, Suhasnadh Reddy Veluru, Sai Teja Erukude:
FedOnco-Bench: A Reproducible Benchmark for Privacy-Aware Federated Tumor Segmentation with Synthetic CT Data. - Ran Yan, Youhe Jiang, Tianyuan Wu, Jiaxuan Gao, Zhiyu Mei, Wei Fu, Haohui Mai, Wei Wang, Yi Wu, Binhang Yuan:
AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs. - Zixian Wang:
Attention Saturation and Gradient Suppression at Inflection Layers: Diagnosing and Mitigating Bottlenecks in Transformer Adaptation. - Zhihui Chen, Mengling Feng:
Med-Banana-50K: A Cross-modality Large-Scale Dataset for Text-guided Medical Image Editing. - Jie JW Wu, Ayanda Patrick Herlihy, Ahmad Saleem Mirza, Ali Afoud, Fatemeh H. Fard:
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents. - Abhiram Kusumba, Maitreya Patel, Kyle Min, Changhoon Kim, Chitta Baral, Yezhou Yang:
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment. - Rishita Agarwal, Himanshu Singhal, Peter Baile Chen, Manan Roy Choudhury, Dan Roth, Vivek Gupta:
REaR: Retrieve, Expand and Refine for Effective Multitable Retrieval. - Guangxi Wan, Peng Zeng, Xiaoting Dong, Chunhe Song, Shijie Cui, Dong Li, Qingwei Dong, Yiyang Liu, Hongfei Bai:
Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems. - Xuan He, Zequan Fang, Jinzhao Lian, Danny H. K. Tsang, Baosen Zhang, Yize Chen:
FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs. - Bowen Fang, Ruijian Zha, Xuan Di:
Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events? - Yang Xu, Haibin Kan, Guangyue Han:
An Elementary Approach to MacWilliams Extension Property and Constant Weight Code with Respect to Weighted Hamming Metric. - Shijie Zhou, Viet Dac Lai, Hao Tan, Jihyung Kil, Wanrong Zhu, Changyou Chen, Ruiyi Zhang:
GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding. - Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi:
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games. - Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John:
LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons. - Stella Kombo, Masih Haseli, Skylar Wei, Joel W. Burdick:
Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning. - Yue Gou, Fanghui Song, Yuming Xing, Shengzhu Shi, Zhichang Guo, Boying Wu:
TA-LSDiff:Topology-Aware Diffusion Guided by a Level Set Energy for Pancreas Segmentation. - Lingyao Li, Zhijie Duan, Xuexin Li, Xiaoran Xu, Zhaoqian Xue, Siyuan Ma, Jin Jin:
Deciphering Scientific Collaboration in Biomedical LLM Research: Dynamics, Institutional Participation, and Resource Disparities. - Yuxuan Hu, Jianchao Tan, Jiaqi Zhang, Wen Zan, Pingwei Sun, Yifan Lu, Yerui Sun, Yuchen Xie, Xunliang Cai, Jing Zhang:
Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies. - Ruoxiang Huang, Xindian Ma, Rundong Kong, Zhen Yuan, Peng Zhang:
OMEGA: Optimized Multimodal Position Encoding Index Derivation with Global Adaptive Scaling for Vision-Language Models. - Qi Xia, Hu Xia, Isaac Amankona Obiri, Bonsu Adjei-Arthur, Grace Mupoyi Ntuala, Ansu Badjie, Bole Wilfried Tienin, Jiaqin Liu, Lan Ma, Jianbin Gao, Feng Yao:
TINC: Trusted Intelligent NetChain. - Shatha Algarni, Boris Glavic, Seokki Lee, Adriane Chapman:
Efficient Query Repair for Aggregate Constraints. - Wen Yang, Qiming Ye, Onur Ascigil, Saidu Sokoto, Leonhard Balduf, Michal Król, Gareth Tyson:
Beyond Single-Tokenomics: How Farcaster's Pluralistic Incentives Reshape Social Networking. - Huiyao Dong, Igor V. Kotenko:
Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection. - Xin Liu, Aoyang Zhou, Kun He:
Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack. - Yifan Pu, Jixuan Ying, Qixiu Li, Tianzhu Ye, Dongchen Han, Xiaochen Wang, Ziyi Wang, Xinyu Shao, Gao Huang, Xiu Li:
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials. - Taikun Zhu, Kai Jin, Ruixi Luo, Song Cao:
Optimal Allocations under Strongly Pigou-Dalton Criteria: Hidden Layer Structure & Efficient Combinatorial Approach. - Xin Liu, Yichen Yang, Kun He, John E. Hopcroft:
Parameter Interpolation Adversarial Training for Robust Image Classification. - John Yang, Kilian Lieret, Joyce Yang, Carlos E. Jimenez, Ofir Press, Ludwig Schmidt, Diyi Yang:
CodeClash: Benchmarking Goal-Oriented Software Engineering. - William Suliman, Ekaterina Chaikovskaia, Egor Davydenko, Roman Gorbachev:
Heuristic Step Planning for Learning Dynamic Bipedal Locomotion: A Comparative Study of Model-Based and Model-Free Approaches. - Xinsong Li, Ning Jiang, Jay Selvaraj:
Portal UX Agent - A Plug-and-Play Engine for Rendering UIs from Natural Language Specifications. - Shuang Qi, Bin Lin, Yiqin Deng, Xianhao Chen, Yuguang Fang:
Minimizing Maximum Latency of Task Offloading for Multi-UAV-assisted Maritime Search and Rescue. - Zhihao Peng, Cheng Wang, Shengyuan Liu, Zhiying Liang, Yixuan Yuan:
OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks. - Yuhan Cao, Yu Wang, Sitong Liu, Miao Li, Yixin Tao, Tianxing He:
Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers. - Abhishek Patange, Sharat Chidambaran, Prabhat Shankar, Manjunath G. B., Anindya Chatterjee:
Identifying Slug Formation in Oil Well Pipelines: A Use Case from Industrial Analytics. - Chong Lyu, Lin Li, Shiqing Wu, Jingling Yuan:
TriCon-Fair: Triplet Contrastive Learning for Mitigating Social Bias in Pre-trained Language Models. - Zhonggen Li, Yougen Li, Yifan Zhu, Zhaoqiang Chen, Yunjun Gao:
All-in-one Graph-based Indexing for Hybrid Search on GPUs. - Yu Liu, Zhijie Liu, Zedong Yang, You-Fu Li, He Kong:
Occlusion-Aware Diffusion Model for Pedestrian Intention Prediction. - Jaehyun Park, Konyul Park, Daehun Kim, Junseo Park, Jun Won Choi:
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion. - Hangdong Zhao, Zhenghong Yu, Srinag Rao, Simon Frisk, Zhiwei Fan, Paraschos Koutris:
FlowLog: Efficient and Extensible Datalog via Incrementality. - Nazmul Takbir, Hamidreza Alikhani, Nikil D. Dutt, Sangeetha Abdu Jyothi:
FlexiCache: Leveraging Temporal Stability of Attention Heads for Efficient KV Cache Management. - Hue T. Nguyen, Tan D. Tran, Long Giang Nguyen, Canh V. Pham:
Fast Stochastic Greedy Algorithm for k-Submodular Cover Problem. - Zhuowen Yin, Cuifeng Gao, Chunsong Fan, Wenzhang Yang, Yinxing Xue, Lijun Zhang:
A Comprehensive Empirical Evaluation of Agent Frameworks on Code-centric Software Engineering Tasks. - Taowen Liu, Marta Andronic, Deniz Gündüz, George A. Constantinides:
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding. - Amirabbas Afzali, Amirreza Velae, Iman Ahmadi, Mohammad Aliannejadi:
Controlling Gender Bias in Retrieval via a Backpack Architecture. - Hyeon Hwang, Yewon Cho, Chanwoong Yoon, Yein Park, Minju Song, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang:
Assessing LLM Reasoning Steps via Principal Knowledge Grounding. - Joonyoung Lim, Younghwan Yoo:
KFCPO: Kronecker-Factored Approximated Constrained Policy Optimization. - Mathias Mankoe, Fuqiang Lu, Hualing Bi, Abdulsalam Sibidoo Mubashiru:
A Meta-Cognitive Swarm Intelligence Framework for Resilient UAV Navigation in GPS-Denied and Cluttered Environments. - Tal Argov, Tal Wagner:
SpEx: A Spectral Approach to Explainable Clustering. - Kyriakos Georgiou, Gianluca Fabiani, Constantinos I. Siettos, Athanasios N. Yannacopoulos:
HEATNETs: Explainable Random Feature Neural Networks for High-Dimensional Parabolic PDEs. - Trinh Van Chien, Ngo Tran Anh Thu, Nguyen Hoang Lam, Hien Quoc Ngo, Symeon Chatzinotas, Huynh Thi Thanh Binh:
Fairness Designs for Load Balancing Optimization in Satellite-Cell-Free Massive MIMO Systems. - Nicolas Troquard:
A Simple Logic of Cohesive Group Agency. - Hasan Abdulla:
Android Malware Detection: A Machine Leaning Approach. - Daniel E. Lucani, Marcell Fehér:
HyRES: A Hybrid Replication and Erasure Coding Approach to Data Storage. - Heng Zhang, Jing Liu, Jiajun Wu, Haochen You, Lubin Gan, Yuling Shi, Xiaodong Gu, Zijian Zhang, Shuai Chen, Wenjun Huang, Jin Huang:
Empowering LLMs with Structural Role Inference for Zero-Shot Graph Learning. - Junli Jiang, Pavel Naumov, Wenxuan Zhang:
Dynamic Logic of Trust-Based Beliefs. - Yoshihiro Maruyama:
Learning with Category-Equivariant Representations for Human Activity Recognition. - Vincenzo De Martino, Stefano Lambiase, Fabiano Pecorelli, Willem-Jan van den Heuvel, Filomena Ferrucci, Fabio Palomba:
Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective. - Ahmed Masry, Megh Thakkar, Patrice Bechard, Sathwik Tejaswi Madhusudhan, Rabiul Awal, Shambhavi Mishra, Akshay Kalkunte Suresh, Srivatsava Daruru, Enamul Hoque, Spandana Gella, Torsten Scholak, Sai Rajeswar:
ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval. - Ernesto Araya, Massimiliano Datres, Gitta Kutyniok:
Random Spiking Neural Networks are Stable and Spectrally Simple. - Martino Trevisan:
DPMon: a Differentially-Private Query Engine for Passive Measurements. - Ruifeng Ren, Sheng Ouyang, Huayi Tang, Yong Liu:
Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle. - Heng Zheng, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Hao Zhang, Wenjun Huang, Jin Huang:
GraphGeo: Multi-Agent Debate Framework for Visual Geo-localization with Heterogeneous Graph Neural Networks. - Heng Zheng, Haochen You, Zijun Liu, Zijian Zhang, Lubin Gan, Hao Zhang, Wenjun Huang, Jin Huang:
G2rammar: Bilingual Grammar Modeling for Enhanced Text-attributed Graph Learning. - Jukka Ruohonen, Abhishek Tiwari:
Empirical Derivations from an Evolving Test Suite. - Yan Shu, Chi Liu, Robin Chen, Derek Li, Bryan Dai:
Fleming-VL: Towards Universal Medical Visual Reasoning with Multimodal LLMs. - Junyao Shi, Rujia Yang, Kaitian Chao, Bingqing Selina Wan, Yifei Simon Shao, Jiahui Lei, Jianing Qian, Long Le, Pratik Chaudhari, Kostas Daniilidis, Chuan Wen, Dinesh Jayaraman:
Maestro: Orchestrating Robotics Modules with Vision-Language Models for Zero-Shot Generalist Robots. - Jianzhou Yao, Shunchang Liu, Guillaume Drui, Rikard Pettersson, Alessandro Blasimme, Sara Kijewski:
The Biased Oracle: Assessing LLMs' Understandability and Empathy in Medical Diagnoses. - Hanwen Su, Ge Song, Jiyan Wang, Yuanbo Zhu:
Dynamic Multi-level Weighted Alignment Network for Zero-shot Sketch-based Image Retrieval. - Kyung-Hoon Kim:
LLMs Position Themselves as More Rational Than Humans: Emergence of AI Self-Awareness Measured Through Game Theory. - Pavithren V. S. Pakianathan, Hannah McGowan, Isabel Höppchen, Daniela Wurhofer, Gunnar Treff, Mahdi Sareban, Josef Niebauer, Albrecht Schmidt, Jan David Smeddinck:
Towards Data-Enabled Physical Activity Planning: An Exploratory Study of HCP Perspectives On The Integration Of Patient-Generated Health Data. - Xijie Ba, Qin Liu, Xiaohong Li, Jianting Ning:
Leakage-abuse Attack Against Substring-SSE with Partially Known Dataset. - Xiangyu Shi, Zerui Li, Yanyuan Qiao, Qi Wu:
Fast-SmartWay: Panoramic-Free End-to-End Zero-Shot Vision-and-Language Navigation. - Elizabeth Dietrich, Hanna Krasowski, Emir Cem Gezer, Roger Skjetne, Asgeir Johan Sørensen, Murat Arcak:
pacSTL: PAC-Bounded Signal Temporal Logic from Data-Driven Reachability Analysis. - Pavithren V. S. Pakianathan, Rania Islambouli, Hannah McGowan, Diogo Branco, Tiago João Guerreiro, Jan David Smeddinck:
Exploring Human-AI Interaction with Patient-Generated Health Data Sensemaking for Cardiac Risk Reduction. - Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang:
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model. - Dipanjan Ghose, S. Sivaranjani, Junjie Qin:
Traffic-Aware Grid Planning for Dynamic Wireless Electric Vehicle Charging. - Yi Zhao, Siqi Wang, Qiqun Geng, Erxin Yu, Jing Li:
"Less is More": Reducing Cognitive Load and Task Drift in Real-Time Multimodal Assistive Agents for the Visually Impaired. - Yangyang Zhao, Matti Kaisti, Olli Lahdenoja, Tero Koivisto:
Motion-Robust Multimodal Fusion of PPG and Accelerometer Signals for Three-Class Heart Rhythm Classification. - Lewen Wang, Sihuang Hu:
Lower Bounds on Conversion Bandwidth for MDS Convertible Codes in Split Regime. - Amine Abouaomar, Badr Ben Elallid, Nabil Benamar:
Optimizing Energy and Latency in 6G Smart Cities with Edge CyberTwins. - Liuzhuozheng Li, Yue Gong, Shanyuan Liu, Bo Cheng, Yuhang Ma, Liebucha Wu, Dengyang Jiang, Zanyi Wang, Dawei Leng, Yuhui Yin:
EVTAR: End-to-End Try on with Additional Unpaired Visual Reference. - Mária Lukácová-Medvidová, Zhuyan Tang, Yuhuan Yuan:
Convergence analysis for a finite volume evolution Galerkin method for multidimensional hyperbolic systems. - Khoat Than:
The Hidden Power of Normalization: Exponential Capacity Control in Deep Neural Networks. - Bui Duc Son, Gaosheng Zhao, Trinh Van Chien, Dong In Kim:
Secure Distributed RIS-MIMO over Double Scattering Channels: Adversarial Attack, Defense, and SER Improvement. - Abhinav P. M, Ojasva Saxena, Oswald C., Parameswari Krishnamurthy:
The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles. - You-Jin Kim, Joshua Lu, Tobias Höllerer:
Dynamic Theater: Location-Based Immersive Dance Theater, Investigating User Guidance and Experience. - Dongheng Lin, Mengxue Qu, Kunyang Han, Jianbo Jiao, Xiaojie Jin, Yunchao Wei:
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis. - Jiahao Huang, Marios M. Polycarpou, Wen Yang, Fangfei Li, Yang Tang:
Secure Distributed Consensus Estimation under False Data Injection Attacks: A Defense Strategy Based on Partial Channel Coding. - Thanh Hai Hoang, Duy-Tung Nguyen, Hung The Tran, Khoat Than:
Using Synthetic Data to estimate the True Error is theoretically and practically doable. - Jiacheng Xu, Xiongfei Zhao, Hou-Wan Long, Se-Hang Cheong, Yain-Whar Si:
Detecting Coverage Holes in Wireless Sensor Networks Using Connected Component Labeling and Force-Directed Algorithms. - Ayse S. Okatan, Mustafa Ilhan Akbas, Laxima Niure Kandel, Berker Peköz:
Keys in the Weights: Transformer Authentication Using Model-Bound Latent Representations. - Kristiyan Sakalyan, Alessandro Palma, Filippo Guerranti, Fabian J. Theis, Stephan Günnemann:
Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow. - Suzhong Fu, Rui Sun, Xuan Ding, Jingqi Dong, Yiming Yang, Yao Zhu, Min Chang Jordan Ren, Delin Deng, Angelica Aviles-Rivero, Shuguang Cui, Zhen Li:
VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel. - Yizhao Qian, Yujie Zhu, Jiayuan Luo, Li Liu, Yixuan Yuan, Guochen Ning, Hongen Liao:
Breaking the Latency Barrier: Synergistic Perception and Control for High-Frequency 3D Ultrasound Servoing. - Yiwen Jiao, Tonghui Ren, Yuche Gao, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang:
ORANGE: An Online Reflection ANd GEneration framework with Domain Knowledge for Text-to-SQL. - Kamesh Munagala, Qilin Ye, Ian Zhang:
Deliberation via Matching. - Rongrong Xie, Guido Sanguinetti:
Balanced Multimodal Learning via Mutual Information. - Chenwang Wu, Yiu-ming Cheung, Bo Han, Defu Lian:
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective. - Asal Meskin, Alireza Mirrokni, Ali Najar, Ali Behrouz:
Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis. - Tianming Liu, Jirong Yang, Yafeng Yin, Manzi Li, Linghao Wang, Zheng Zhu:
Aligning LLM agents with human learning and adjustment behavior: a dual agent approach. - Tianming Wu, Dixin Tang:
PathFinder: Efficiently Supporting Conjunctions and Disjunctions for Filtered Approximate Nearest Neighbor Search. - Chang Nie, Tianchen Deng, Zhe Liu, Hesheng Wang:
MID: A Self-supervised Multimodal Iterative Denoising Framework. - Ziye Wang, Li Kang, Yiran Qin, Jiahua Ma, Zhanglin Peng, Lei Bai, Ruimao Zhang:
GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies. - Julian Streit, Franziska Weindel, Reinhard Heckel:
Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors. - Hassan Ugail, Ismail Lujain Jaleel:
Integrating Visual and X-Ray Machine Learning Features in the Study of Paintings by Goya. - Johansell Villalobos, Daniel Caviedes-Voullième, Silvio Rizzi, Esteban Meneses:
Towards Portability at Scale: A Cross-Architecture Performance Evaluation of a GPU-enabled Shallow Water Solver. - Diantong Li, Kyunghyun Cho, Chong Liu:
None To Optima in Few Shots: Bayesian Optimization with MDP Priors. - Haolin Yang, Jipeng Zhang, Zhitao He, Yi R. Fung:
MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL. - Fabrício Olivetti de França, Gabriel Kronberger:
Equality Graph Assisted Symbolic Regression. - Mohammad Amanour Rahman:
HyFormer-Net: A Synergistic CNN-Transformer with Interpretable Multi-Scale Fusion for Breast Lesion Segmentation and Classification in Ultrasound Images. - Bosi Wen, Yilin Niu, Cunxiang Wang, Pei Ke, Xiaoying Ling, Ying Zhang, Aohan Zeng, Hongning Wang, Minlie Huang:
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation. - Nabeel Seedat, Jiashuo Liu, Mihaela van der Schaar:
What's the next frontier for Data-centric AI? Data Savvy Agents. - Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria:
Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning. - Haoran Ye, Qiuzhuang Sun, Yang Yang:
SARIMAX-Based Power Outage Prediction During Extreme Weather Events. - Hui-Lee Ooi, Nicholas Mitsakakis, Margerie Huet Dastarac, Roger Zemek, Amy C. Plint, Jeff Gilchrist, Khaled El Emam, Dhenuka Radhakrishnan:
AI for pRedicting Exacerbations in KIDs with aSthma (AIRE-KIDS). - Bowen Chen, Jayesh Gajbhar, Gregory Dusek, Rob Redmon, Patrick Hogan, Paul Liu, DelWayne Bohnenstiehl, Dongkuan Xu, Ruoying He:
OceanAI: A Conversational Platform for Accurate, Transparent, Near-Real-Time Oceanographic Insights. - Xingyu Ren, Michael C. Fu, Steven I. Marcus:
On Structural Properties of Risk-Averse Optimal Stopping Problems. - Huihui Yang, Pingpeng Yuan:
Fast Answering Pattern-Constrained Reachability Queries with Two-Dimensional Reachability Index. - Junxi Yuan:
FastBoost: Progressive Attention with Dynamic Scaling for Efficient Deep Learning. - Mathieu Dubied, Paolo Tiso, Robert K. Katzschmann:
AquaROM: shape optimization pipeline for soft swimmers using parametric reduced order models. - Yiqian Wu, Ming Yi, Bolun Xu, James Anderson:
Online Energy Storage Arbitrage under Imperfect Predictions: A Conformal Risk-Aware Approach. - Tiberiu Musat, Tiago Pimentel, Lorenzo Noci, Alessandro Stolfo, Mrinmaya Sachan, Thomas Hofmann:
On the Emergence of Induction Heads for In-Context Learning. - Francesca Renzi, Christian Vergara:
A Stable Loosely-Coupled Dirichlet-Neumann Scheme for Fluid-Structure Interaction with Large Added Mass. - Zihan Fang, Yifan Zhang, Yueke Zhang, Kevin Leach, Yu Huang:
DPO-F+: Aligning Code Repair Feedback with Developers' Preferences. - George Jones, Ángel F. García-Fernández:
GOSPA-Driven Non-Myopic Multi-Sensor Management with Multi-Bernoulli Filtering. - Vedant Acharya, Abhay Pisharodi, Rishabh Mondal, Mohammad Rafiuddin, Nipun Batra:
VayuChat: An LLM-Powered Conversational Interface for Air Quality Data Analytics. - Yu Shi, Hao Li, Bram Adams, Ahmed E. Hassan:
HAFixAgent: History-Aware Automated Program Repair Agent. - Yeawon Lee, Christopher C. Yang, Chia-Hsuan Chang, Grace Lu-Yao:
Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports. - Qing Ding, Eric Hua Qing Zhang, Felix Jozsa, Julia Ive:
Building a Silver-Standard Dataset from NICE Guidelines for Clinical LLMs. - Sama Salarian, Yue Zhang, Swati Padhee, Srinivasan Parthasarathy:
MedEqualizer: A Framework Investigating Bias in Synthetic Medical Data and Mitigation via Augmentation. - Abbas Tariverdi:
Robust Self-Triggered Control Approaches Optimizing Sampling Sequences with Synchronous Measurements. - Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo:
Efficient Test-Time Retrieval Augmented Generation. - Andrew Hallam, R. G. Gayathri, Glory Lee, Atul Sajjanhar:
Window-Based Feature Engineering for Cognitive Workload Detection. - Przemyslaw Spyra, Witold Dzwinel:
Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Evaluation of Forward-Only Algorithms. - Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond. - Stephan Oepen, Nikolay Arefev, Mikko Aulamo, Marta Bañón, Maja Buljan, Laurie Burchell, Lucas Georges Gabriel Charpentier, Pinzhen Chen, Mariya Fedorova, Ona de Gibert, Barry Haddow, Jan Hajic, Jindrich Helcl, Andrey Kutuzov, Veronika Laippala, Zihao Li, Risto Luukkonen, Bhavitvya Malik, Vladislav Mikhailov, Amanda Myntti, Dayyán O'Brien, Lucie Poláková, Sampo Pyysalo, Gema Ramírez-Sánchez, Janine Siewert, Pavel Stepachev, Jörg Tiedemann, Teemu Vahtola, Dusan Varis, Fedor Vitiugin, Tea Vojtechová, Jaume Zaragoza-Bernabeu:
HPLT 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models. - Vrushabh Zinage, Efstathios Bakolas:
Universal Barrier Functions for Safety and Stability of Constrained Nonlinear Systems. - Georg Pichler, Marco Romanelli, Pablo Piantanida:
Happiness as a Measure of Fairness. - Dinh-Hieu Tran, Thai Duong Nguyen, Thanh-Dao Nguyen, Ngoc-Tan Nguyen, Van Nhan Vo, Hung Tran, Mouhamad Chehaitly, Yan Kyaw Tun, Cedomir Stefanovic, Tu Ho Dac, Eva Lagunas, Symeon Chatzinotas, Nguyen Van Huynh:
Quantum Reinforcement Learning for 6G and Beyond Wireless Networks. - Fengxing Zhu:
Sequence Reconstruction over the Deletion Channel. - Xuchuang Wang, Matheus Guedes de Andrade, Guus Avis, Yu-Zhen Janice Chen, Mohammad Hajiesmaili, Don Towsley:
Quantum Network Tomography for General Topology with SPAM Errors. - David McCoy, Yulun Wu, Zachary Butzin-Dozier:
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs. - Qinwei Huang, Stefan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu:
Predictive Auxiliary Learning for Belief-based Multi-Agent Systems. - Nikolay I. Kalmykov, Razan Dibo, Kaiyu Shen, Zhonghan Xu, Anh Huy Phan, Yipeng Liu, Ivan V. Oseledets:
T-MLA: A Targeted Multiscale Log-Exponential Attack Framework for Neural Image Compression. - Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr, Cyrus Shahabi:
GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction. - Zihan Wang, Jianwen Li, Li-Fan Wu, Nina Mahmoudian:
Deployable Vision-driven UAV River Navigation via Human-in-the-loop Preference Alignment. - Vladimir Martirosyan, Rachit Kamdar:
Do Employee Verification Mechanisms Alter Cultural Signals in Employer Reviews? - Md. Abid Hasan Rafi, Mst. Fatematuj Johora, Pankaj Bhowmik:
SliceVision-F2I: A Synthetic Feature-to-Image Dataset for Visual Pattern Representation on Network Slices. - Vlad Negoita, Mihai Masala, Traian Rebedea:
Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering. - Junqi Zhao, Chenxing Li, Jinzheng Zhao, Rilin Chen, Dong Yu, Mark D. Plumbley, Wenwu Wang:
Feedback-driven Retrieval-augmented Audio Generation with Large Audio Language Models. - Aman Jaglan, Jarrod Barnes:
Continual Learning, Not Training: Online Adaptation For Agents. - Veronica Marsico, Antonio Quintero-Rincón, Hadj Batatia:
Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images. - Marek Strong, Andreas Vlachos:
TSVer: A Benchmark for Fact Verification Against Time-Series Evidence. - Yujian Liu, Jiabao Ji, Yang Zhang, Wenbo Guo, Tommi S. Jaakkola, Shiyu Chang:
HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning. - Guillaume Rivière:
Defining a Role-Centered Terminology for Physical Representations and Controls. - Y. Isabel Liu, Bowen Li, Benjamin Eysenbach, Tom Silver:
SLAP: Shortcut Learning for Abstract Planning. - Alexander Thorley, Agis Chartsias, Jordan Strom, Jeremy Slivnick, Dipak Kotecha, Alberto Gómez, Jinming Duan:
Anatomically Constrained Transformers for Echocardiogram Analysis. - Farshad Rostami Ghadi, Kai-Kit Wong, Masoud Kaveh, Hanjiang Hong, Chan-Byoung Chae, Lajos Hanzo:
Coverage Analysis and Optimization of FIRES-Assisted NOMA and OMA Systems. - Sebastian Kempf, Frank Puppe:
S2Doc - Spatial-Semantic Document Format. - Max von Hippel:
Verification and Attack Synthesis for Network Protocols. - Takashi Furuya, Anastasis Kratsios, Dylan Possamaï, Bogdan Raonic:
One model to solve them all: 2BSDE families via neural operators. - Fábio Diniz Rossi:
Neuro-Inspired Task Offloading in Edge-IoT Networks Using Spiking Neural Networks. - Fábio Diniz Rossi:
Boosting performance of computer vision applications through embedded GPUs on the edge. - Md Nahiduzzaman, Steven Korevaar, Alireza Bab-Hadiashar, Ruwan B. Tennakoon:
Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis. - Enbo Sun, Yongzhao Wang, Hao Zhou:
Credit Network Modeling and Analysis via Large Language Models. - Kathryn Lindsey, Govind Menon:
Regularization Implies balancedness in the deep linear network. - Yoshihiro Maruyama:
Learning with Category-Equivariant Architectures for Human Activity Recognition. - Valerio La Gatta, Marco Postiglione, Jeremy Gilbert, Daniel W. Linna Jr., Morgan Manella Greenfield, Aaron Shaw, V. S. Subrahmanian:
DEEP: A Discourse Evolution Engine for Predictions about Social Movements. - Ziyi Wang, Yuanmei Zhang, Dorna Esrafilzadeh, Ali R. Jalili, Suncheng Xiang:
MicroAUNet: Boundary-Enhanced Multi-scale Fusion with Knowledge Distillation for Colonoscopy Polyp Image Segmentation. - Md Tanvirul Alam, Dipkamal Bhusal, Salman Ahmad, Nidhi Rastogi, Peter Worth:
AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence. - Shuaidong Pan, Di Wu:
Modular Task Decomposition and Dynamic Collaboration in Multi-Agent Systems Driven by Large Language Models. - Ce Li, Qianfan Zhang, Weiqiang Zheng:
From Best Responses to Learning: Investment Efficiency in Dynamic Environment. - Faquan Chen, Qingyang Tian, Ziren Wu, Rendong Ying, Fei Wen, Peilin Liu:
A High-Throughput Spiking Neural Network Processor Enabling Synaptic Delay Emulation. - Zhen Wang, Bin Lin, Qiang Ye, Yuguang Fang, Xiaoling Han:
Joint Computation Offloading and Resource Allocation for Maritime MEC with Energy Harvesting. - Yunlong Zhu, Chang-An Zhao:
Distributed Matrix Multiplication-Friendly Algebraic Function Fields. - Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang:
ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation. - Dong Heon Han, Mayank Mehta, Runze Zuo, Zachary Wanger, Daniel Bruder:
An Enhanced Proprioceptive Method for Soft Robots Integrating Bend Sensors and IMUs. - Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Minghua He, Leyi Pan, Zhaoyang Liu, Bolin Ding, Ying Li:
MicroRemed: Benchmarking LLMs in Microservices Remediation. - Brian Nlong Zhao, Jiajun Wu, Shangzhe Wu:
Web-Scale Collection of Video Data for 4D Animal Reconstruction. - Ruofan Zhang, Bin Xia, Zhen Cheng, Cairen Jian, Minglun Yang, Ngai Wong, Yuan Cheng:
DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models. - Ali Owfi, Amirmohammad Bamdad, Tolunay Seyfi, Fatemeh Afghah:
Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification. - Xingyu Zhou, Le Liang, Xinjie Li, Jing Zhang, Peiwen Jiang, Xiao Li, Shi Jin:
Conditional Diffusion Model-Enabled Scenario-Specific Neural Receivers for Superimposed Pilot Schemes. - Peng Du, Hui Li, Han Xu, Paul Barom Jeon, Dongwook Lee, Daehyun Ji, Ran Yang, Feng Zhu:
Diffusion Transformer meets Multi-level Wavelet Spectrum for Single Image Super-Resolution. - Wenqing Zhu, Norihiro Yoshida, Eunjong Choi, Yutaka Matsubara, Hiroaki Takada:
An Empirical Study of LLM-Based Code Clone Detection. - Zihao He, Bo Ai, Tongzhou Mu, Yulin Liu, Weikang Wan, Jiawei Fu, Yilun Du, Henrik I. Christensen, Hao Su:
Scaling Cross-Embodiment World Models for Dexterous Manipulation. - Jingyi Shi, Yufeng Chen, Yang Xiao, Yuekang Li, Zhengzi Xu, Sihao Qiu, Chi Zhang, Keyu Qi, Yeting Li, Xingchu Chen, Yanyan Zou, Yang Liu, Wei Huo:
A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners. - Emaad Manzoor, Eva Ascarza, Oded Netzer:
Learning When to Quit in Sales Conversations. - Cuong Van Duc, Thai Tran Quoc, Minh Nguyen Dinh Tuan, Tam Vu Duc, Son Nguyen Van, Hanh Nguyen Thi:
MiRAGE: Misconception Detection with Retrieval-Guided Multi-Stage Reasoning and Ensemble Fusion. - Hainan Fang, Yuanbo Wen, Jun Bi, Yihan Wang, Tonghui He, Yanlin Tang, Di Huang, Jiaming Guo, Rui Zhang, Qi Guo, Yunji Chen:
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code. - Ruyue Zhang, Xiaopeng Ke, Ming Liu, Fangzhou Shi, Chang Men, Zhengdan Zhu:
A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling. - Lijie Wang, Lianjie Guo, Ziyi Xu, Qianhao Wang, Fei Gao, Xieyuanli Chen:
LiDAR-VGGT: Cross-Modal Coarse-to-Fine Fusion for Globally Consistent and Metric-Scale Dense Mapping. - Muhammed Saeed, Muhammad Abdul-Mageed, Shady Shehata:
Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs. - Lvhua Wu, Xuefeng Jiang, Sheng Sun, Tian Wen, Yuwei Wang, Min Liu:
ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction. - Lijia Yu, Xiao-Shan Gao, Lijun Zhang:
Analyzing the Power of Chain of Thought through Memorization Capabilities. - Ru Wang, Wei Huang, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo:
Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning. - Guoxin Ma, Xiaoming Liu, Zhanhan Zhang, Chengzhengxu Li, Shengchao Liu, Yu Lan:
DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection. - Minmin Zeng:
A Topology-Aware Graph Convolutional Network for Human Pose Similarity and Action Quality Assessment. - Yifan Zhou, Tianshi Xu, Jue Hong, Ye Wu, Meng Li:
CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing. - Tariq Abdul-Quddoos, Tasnia Sharmin, Xiangfang Li, Lijun Qian:
Transmitter Identification and Protocol Categorization in Shared Spectrum via Multi-Task RF Classification at the Network Edge. - Max McCandless, Jonathan Hamid, Sammy Elmariah, Nathaniel Langer, Pierre E. Dupont:
Closed-loop Control of Steerable Balloon Endoscopes for Robot-assisted Transcatheter Intracardiac Procedures. - Mengyuan Liu, Sheng Yan, Yong Wang, Yingjie Li, Gui-Bin Bian, Hong Liu:
MoSa: Motion Generation with Scalable Autoregressive Modeling. - Bo Bai:
Forget BIT, It is All about TOKEN: Towards Semantic Information Theory for LLMs. - Pavel Rumiantsev, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
FEval-TTC: Fair Evaluation Protocol for Test-Time Compute. - Yueqiao Jin, Roberto Martínez-Maldonado, Wanruo Shi, Songjie Huang, Mingmin Zheng, Xinbin Han, Dragan Gasevic, Lixiang Yan:
When Machines Join the Moral Circle: The Persona Effect of Generative AI Agents in Collaborative Reasoning. - Jerry Huang, Siddarth Madala, Cheng Niu, Julia Hockenmaier, Tong Zhang:
Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking. - Heyu Guo, Shanmu Wang, Ruichun Ma, Shiqi Jiang, Yasaman Ghasempour, Omid Abari, Baining Guo, Lili Qiu:
OmniVLA: Physically-Grounded Multimodal VLA with Unified Multi-Sensor Perception for Robotic Manipulation. - Riddhi Jain, Manasi Patwardhan, Parijat Deshpande, Venkataramana Runkana:
Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering. - ShivKishan Dubey, Rohit Sharma:
A Physical Analogy between Molecular Ordering and SAT-to-Ising Annealing. - Minh-Duc Nguyen, Dung D. Le, Phi Long Nguyen:
Optimizing Electric Vehicle Charging Station Placement Using Reinforcement Learning and Agent-Based Simulations. - Muhua Zhang, Lei Ma, Ying Wu, Kai Shen, Deqing Huang, Henry Leung:
Tackling the Kidnapped Robot Problem via Sparse Feasible Hypothesis Sampling and Reliable Batched Multi-Stage Inference. - Zahra Mehraban, Sebastien Glaser, Michael Milford, Ronald Schroeter:
Saliency-Guided Domain Adaptation for Left-Hand Driving in Autonomous Steering. - Chengmeng Li, Yaxin Peng:
Embodiment Transfer Learning for Vision-Language-Action Models. - Themistoklis Vargiemezis, Charilaos I. Kanatsoulis, Catherine Gorlé:
WindMiL: Equivariant Graph Learning for Wind Loading Prediction. - Jiahui Gao, Kuang Zhou, Yuchen Zhu:
Influence-aware Causal Autoencoder Network for Node Importance Ranking in Complex Networks. - Yuanhao Feng, Tao Sun, Yan Meng, Xuxin Yang, Donghan Feng:
Deep Learning-Accelerated Shapley Value for Fair Allocation in Power Systems: The Case of Carbon Emission Responsibility. - Yu-Ting Lai, Jacob Rosen, Yasamin Foroutani, Ji Ma, Wen-Cheng Wu, Jean Pierre Hubschman, Tsu-Chin Tsao:
High-Precision Surgical Robotic System for Intraocular Procedures. - Rajmund Nagy, Hendric Voss, Thanh Hoang-Minh, Mihail Tsakov, Teodor Nikolov, Zeyi Zhang, Tenglong Ao, Sicheng Yang, Shaoli Huang, Yongkang Cheng, Muhammad Hamza Mughal, Rishabh Dabral, Kiran Chhatre, Christian Theobalt, Libin Liu, Stefan Kopp, Rachel McDonnell, Michael Neff, Taras Kucherenko, Youngwoo Yoon, Gustav Eje Henter:
Gesture Generation (Still) Needs Improved Human Evaluation Practices: Insights from a Community-Driven State-of-the-Art Benchmark. - Min Gan, Guang-Yong Chen, Yang Yi, Lin Yang:
A Saddle Point Remedy: Power of Variable Elimination in Non-convex Optimization. - Shruthi Kannappan, Ashwina Kumar, Rupesh Nasre:
Scalable Maxflow Processing for Dynamic Graphs. - Junwen Zhang, Changyue Liu, Pengqi Fu, Xiang Guo, Ye Shi, Xudong Liang, Zhijian Wang, Hanzhi Ma:
Don't Just Search, Understand: Semantic Path Planning Agent for Spherical Tensegrity Robots in Unknown Environments. - Vishakha Lall, Yisi Liu:
Eyes on Target: Gaze-Aware Object Detection in Egocentric Video. - Dipan Dey, Telikepalli Kavitha:
Fault-Tolerant Approximate Distance Oracles with a Source Set. - Zhixuan Zhang, Pingyu Wang, Xingjian Zheng, Linbo Qing, Qi Liu:
Beyond Deceptive Flatness: Dual-Order Solution for Strengthening Adversarial Transferability. - Yu Tian, Zhongheng Yang, Chenshi Liu, Yiyun Su, Ziwei Hong, Zexi Gong, Jingyuan Xu:
CenterMamba-SAM: Center-Prioritized Scanning and Temporal Prototypes for Brain Lesion Segmentation. - Wajid Ali, Ayaz Akram, Deepak Shankar:
Simulation-Driven Evaluation of Chiplet-Based Architectures Using VisualSim. - Ziqi Liu, Yuankun Wang, Hui-Ru Ho, Yuheng Wu, Yuhang Zhao, Bilge Mutlu:
AskNow: An LLM-powered Interactive System for Real-Time Question Answering in Large-Scale Classrooms. - Kun-Wei Lin, Yu-Chen Kuo, Hsin-Yao Wang, Yi-Ju Tseng:
KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records. - Youngjae Cheong, Jhonghyun An:
Source-Only Cross-Weather LiDAR via Geometry-Aware Point Drop. - Siyuan Li, Yaowen Zheng, Hong Li, Jingdong Guo, Chaopeng Dong, Chunpeng Yan, Weijie Wang, Yimo Ren, Limin Sun, Hongsong Zhu:
Lares: LLM-driven Code Slice Semantic Search for Patch Presence Testing. - He Chen, Zihua Zheng, Jinghua Sun:
Design of quasi phase matching crystal based on differential gray wolf algorithm. - Yasamin Foroutani, Yasamin Mousavi-Motlagh, Aya Barzelay, Tsu-Chin Tsao:
Improving Needle Penetration via Precise Rotational Insertion Using Iterative Learning Control. - Chuyue Lou, Mohamed Amine Atoui:
Graph Neural Network-Based Semi-Supervised Open-Set Fault Diagnosis for Marine Machinery Systems. - Zhiqi Li, Jinjin He, Barnabás Börcsök, Taiyuan Zhang, Duowen Chen, Tao Du, Ming C. Lin, Greg Turk, Bo Zhu:
An Adjoint Method for Differentiable Fluid Simulation on Flow Maps. - Jiatong Shi, Jionghao Han, Yichen Lu, Santiago Pascual, Pengfei Wu, Chenye Cui, Shinji Watanabe, Chao Weng, Cong Zhou:
Speech-DRAME: A Framework for Human-Aligned Benchmarks in Speech Role-Play. - Mo El-Haj, Paul Rayson:
AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs. - Joonghyuk Shin, Zhengqi Li, Richard Zhang, Jun-Yan Zhu, Jaesik Park, Eli Schechtman, Xun Huang:
MotionStream: Real-Time Video Generation with Interactive Motion Controls. - Yiyang Yang, Xiejian Chi, Shanxing Gao, Kaidong Wang, Yao Wang:
A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation. - Minseok Kim, Hankook Lee, Hyungjoon Koo:
Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems. - Sehui Jeong, Magaly C. Aviles, Athena X. Naylor, Cynthia Sung, Allison M. Okamura:
Design and Fabrication of Origami-Inspired Knitted Fabrics for Soft Robotics. - Tan Tang, Yanhong Wu, Junming Gao, Yingcai Wu:
PRevivor: Reviving Ancient Chinese Paintings using Prior-Guided Color Transformers. - Zan Li, Kyongmin Yeo, Wesley M. Gifford, Lara Marcuse, Madeline Fields, Bülent Yener:
Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting. - Yiyao Ma, Kai Chen, Kexin Zheng, Qi Dou:
Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation. - Annabelle Martin, Daphne Kontogiorgos-Heintz, Jeff Nivala:
Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model. - Dganit Hanania, Eitan Yaakobi:
Error-Correcting Codes for Labeled DNA Sequences. - Min Fang, Zhihui Fu, Qibin Zhao, Jun Wang:
When, What, and How: Rethinking Retrieval-Enhanced Speculative Decoding. - Yupu Lu, Shijie Lin, Hao Xu, Zeqing Zhang, Jia Pan:
Lyapunov Stability Learning with Nonlinear Control via Inductive Biases. - Karma Phuntsho, Abdullah, Kyungmi Lee, Ickjai Lee, Euijoon Ahn:
Adaptation of Foundation Models for Medical Image Analysis: Strategies, Challenges, and Future Directions. - Sivaram Krishnan, Jinho Choi, Jihong Park, Gregory Sherman, Benjamin Campbell:
Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks. - Qin Zhou, Zhexin Zhang, Zhi Li, Limin Sun:
"Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI Reviewers. - Bixuan Zhang, Fengqi Zhang, Haojie Chen, You Wang, Jie Hao, Zhiyuan Luo, Guang Li:
A High-Speed Capable Spherical Robot. - Saiyma Sittul Muna, Rezwan Islam Salvi, Mushfiqur Rahman Mushfique, Ajwad Abrar:
FirstAidQA: A Synthetic Dataset for First Aid and Emergency Response in Low-Connectivity Settings. - Yonggang Zhang, Jun Nie, Xinmei Tian, Mingming Gong, Kun Zhang, Bo Han:
Detecting Generated Images by Fitting Natural Image Distributions. - Jiawei Wang, Dingyou Wang, Jiaming Hu, Qixuan Zhang, Jingyi Yu, Lan Xu:
Kinematify: Open-Vocabulary Synthesis of High-DoF Articulated Objects. - Feng Han, Yibin Wang, Chenglin Li, Zheming Liang, Dianyi Wang, Yang Jiao, Zhipeng Wei, Chao Gong, Cheng Jin, Jingjing Chen, Jiaqi Wang:
UniREditBench: A Unified Reasoning-based Image Editing Benchmark. - Guanjie Cheng, Mengzhen Yang, Xinkui Zhao, Shuyi Yu, Tianyu Du, Yangyang Wu, Mengying Zhu, Shuiguang Deng:
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping. - Aman Mittal, Kasturi Venkata Sai Srikanth, Ferdin Sagai Don Bosco, Abhishek Singh, Rut Lineswala, Abhishek Chopra:
Investigation of Performance and Scalability of a Quantum-Inspired Evolutionary Optimizer (QIEO) on NVIDIA GPU. - Nu-Fang Xiao, De-Xing Huang, Le-Tian Wang, Mei-Jiang Gui, Qi Fu, Xiao-Liang Xie, Shi-Qi Liu, Shuangyi Wang, Zeng-Guang Hou, Ying-Wei Wang, Xiao-Hu Zhou:
REASON: Probability map-guided dual-branch fusion framework for gastric content assessment. - Tomer Shoham, Moshe Shenfeld, Noa Velner-Harris, Katrina Ligett:
Black-Box Differentially Private Nonparametric Confidence Intervals Under Minimal Assumptions. - Chentao Li, Behzad Bozorgtabar, Yifang Ping, Pan Huang, Jing Qin:
Positive Semi-definite Latent Factor Grouping-Boosted Cluster-reasoning Instance Disentangled Learning for WSI Representation. - Aman Ganapathy Manvattira, Yifei Xu, Ziyue Dang, Songwu Lu:
DeepSpecs: Expert-Level Questions Answering in 5G. - Peipei Zheng, Dong He, Qunying Liao:
On the Ding and Helleseth's 9th open problem about optimal ternary cyclic codes. - Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park:
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models. - Qunying Liao, Zhaohui Zhang, Peipei Zheng:
Several classes of three-weight or four-weight linear codes. - Sureyya Akin, Kavita Srivastava, Prateek B. Kapoor, Pradeep G. Sethi, Sunita Q. Patel, Rahu Srivastava:
From Pixels to Cooperation Multi Agent Reinforcement Learning based on Multimodal World Models. - Filip Naudot, Tobias Sundqvist, Timotheus Kampik:
llmSHAP: A Principled Approach to LLM Explainability. - Jianfei Jiang, Qiankun Liu, Hongyuan Liu, Haochen Yu, Liyong Wang, Jiansheng Chen, Huimin Ma:
MVSMamba: Multi-View Stereo with State Space Model. - Chong Wang, Chen Zhang, Jiajun Wu, Wunan Guo, Jianfeng Qu, Yewen Tian, Yang Liu:
Exploringand Unleashing the Power of Large Language Models in CI/CD Configuration Translation. - Sampriti Soor, Alik Pramanick, Jothiprakash K, Arijit Sur:
A Generative Adversarial Approach to Adversarial Attacks Guided by Contrastive Language-Image Pre-trained Model. - Yu Liu, Zhuoying Li, Ruifeng Yang, Fengran Mo, Cen Chen:
CSMD: Curated Multimodal Dataset for Chinese Stock Analysis. - Ziqi Wang, Hailiang Zhao, Yuhao Yang, Daojiang Hu, Cheng Bao, Mingyi Liu, Kai Di, Schahram Dustdar, Zhongjie Wang, Shuiguang Deng:
OmniFuser: Adaptive Multimodal Fusion for Service-Oriented Predictive Maintenance. - Bendegúz M. Györök, Maarten Schoukens, Tamás Péni, Roland Tóth:
Orthogonal-by-construction augmentation of physics-based input-output models. - Jiabao Ji, Min Li, Priyanshu Kumar, Shiyu Chang, Saloni Potdar:
DEEPAMBIGQA: Ambiguous Multi-hop Questions for Benchmarking LLM Answer Completeness. - Lekshmi Murali Rani, Richard Berntsson-Svensson, Robert Feldt:
AI for Requirements Engineering: Industry adoption and Practitioner perspectives. - Jierui Qu, Jianchun Zhao:
RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation. - Ying Song, Yijing Wang, Hui Yang, Weihan Jin, Jun Xiong, Congyi Zhou, Jialin Zhu, Xiang Gao, Rong Chen, HuaGuang Deng, Ying Dai, Fei Xiao, Haihong Tang, Bo Zheng, Kaifu Zhang:
Unbiased Platform-Level Causal Estimation for Search Systems: A Competitive Isolation PSM-DID Framework. - Hongyin Zhang, Shuo Zhang, Junxi Jin, Qixin Zeng, Runze Li, Donglin Wang:
RobustVLA: Robustness-Aware Reinforcement Post-Training for Vision-Language-Action Models. - Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Hassan Rizwan, Sagnik Bhattacharya, Muhammad Ali Jamshed, John M. Cioffi:
Transformer-Based Sparse CSI Estimation for Non-Stationary Channels. - Ling Niu, Xiaoji Zheng, Han Wang, Chen Zheng, Ziyuan Yang, Bokui Chen, Jiangtao Gong:
Embodied Cognition Augmented End2End Autonomous Driving. - Ibrahim Khalilov, Chaoran Chen, Ziang Xiao, Tianshi Li, Toby Jia-Jun Li, Yaxing Yao:
Beyond Permissions: Investigating Mobile Personalization with Simulated Personas. - Trishanu Das, Abhilash Nandy, Khush Bajaj, Deepiha S:
|\circle, BUS|: A Large and Diverse Multimodal Benchmark for evaluating the ability of Vision-Language Models to understand Rebus Puzzles. - Álvaro Vázquez-Rodríguez, Manuel Fernández-Veiga, Carlos Giraldo Rodriguez:
Diffusion-Based Solver for CNF Placement on the Cloud-Continuum. - Jierui Qu, Jianchun Zhao:
MIQ-SAM3D: From Single-Point Prompt to Multi-Instance Segmentation via Competitive Query Refinement. - Shun Yoshida, Qingchuan Song, Bastian E. Rapp, Thomas Speck, Falk J. Tauber:
Thermo-responsive closing and reopening artificial Venus Flytrap utilizing shape memory elastomers. - Riddhi Das, Joscha Teichmann, Thomas Speck, Falk J. Tauber:
Design and development of an electronics-free earthworm robot. - Robin Gröpler, Steffen Klepke, Jack Johns, Andreas Dreschinski, Klaus Schmid, Benedikt Dornauer, Eray Tüzün, Joost Noppen, Mohammad Reza Mousavi, Yongjian Tang, Johannes Viehmann, Selin Sirin Aslangül, Beum Seuk Lee, Adam Ziolkowski, Eric Zie:
The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project. - Maartje H. M. Wermelink, Renate Sachse, Sebastian Kruppert, Thomas Speck, Falk J. Tauber:
Model to Model: Understanding the Venus Flytrap Snapping Mechanism and Transferring it to a 3D-printed Bistable Soft Robotic Demonstrator. - Lucie Flek, Oliver Janik, Philipp Alexander Jung, Akbar Karimi, Timo Saala, Alexander Schmidt, Matthias Schott, Philipp Soldin, Matthias Thiesmeyer, Christopher Wiebusch, Ulrich Willemsen:
MiniFool - Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks. - Zafar Imam Khan:
AI Literacy in UAE Libraries: Assessing Competencies, Training Needs, and Ethical Considerations for the Digital Age. - Wenrui Cai, Chengyu Wang, Junbing Yan, Jun Huang, Xiangzhong Fang:
Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series. - Linhao Huang:
Expanding the Content-Style Frontier: a Balanced Subspace Blending Approach for Content-Style LoRA Fusion. - Rana Alaa, Darío González-Ferreiro, Carlos Beis-Penedo, Manuel Fernández-Veiga, Rebeca P. Díaz Redondo, Ana Fernández Vilas:
Verifiable Split Learning via zk-SNARKs. - Qiangguo Jin, Xianyao Zheng, Hui Cui, Changming Sun, Yuqi Fang, Cong Cong, Ran Su, Leyi Wei, Ping Xuan, Junbo Wang:
CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering. - Sapir Harary, Eran Hirsch, Aviv Slobodkin, David Wan, Mohit Bansal, Ido Dagan:
PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise. - Aadi Palnitkar, Arjun Suresh, Rishi Rajesh, Puneet Puli:
Safer in Translation? Presupposition Robustness in Indic Languages. - Giuseppe Riva, Brenda K. Wiederhold, Fabrizia Mantovani:
Automatic Minds: Cognitive Parallels Between Hypnotic States and Large Language Model Processing. - Pavan Kumar Perepu:
A semantic-based deep learning approach for mathematical expression retrieval. - Ibrahim Ethem Deveci, Duygu Ataman:
The Ouroboros of Benchmarking: Reasoning Evaluation in an Era of Saturation. - Luis Diener, Jens Kalkkuhl, Markus Enzweiler:
Lateral Velocity Model for Vehicle Parking Applications. - Kaining Wang, Bo Yang, Yusheng Lei, Zhiwen Yu, Xuelin Cao, Liang Wang, Bin Guo, George C. Alexandropoulos, Mérouane Debbah, Zhu Han:
3D Gaussian Radiation Field Modeling for Integrated RIS-FAS Systems: Analysis and Optimization. - Ziqi Wang, Jiashun Liu, Ling Pan:
Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization. - Hamin Koo, Minseon Kim, Jaehyung Kim:
Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges. - Jialong Zhou, Ben Bals, Matei Tinca, Ai Guan, Panagiotis Charalampopoulos, Grigorios Loukides, Solon P. Pissis:
Subtree Mode and Applications. - Amir Hossein Khorasani, Ali Jahanian, Maryam Rastgarpour:
Protecting the Neural Networks against FGSM Attack Using Machine Unlearning. - Kun Hu, Menggang Li, Zhiwen Jin, Chaoquan Tang, Eryi Hu, Gongbo Zhou:
CM-LIUW-Odometry: Robust and High-Precision LiDAR-Inertial-UWB-Wheel Odometry for Extreme Degradation Coal Mine Tunnels. - Wessel Poelman, Thomas Bauwens, Miryam de Lhoneux:
Confounding Factors in Relating Model Performance to Morphology. - Hitesh Kyatham, Arjun Suresh, Aadi Palnitkar, Yiannis Aloimonos:
EREBUS: End-to-end Robust Event Based Underwater Simulation. - Landson Guo, Andres M. Diaz Aguilar, William Talbot, Turcan Tuna, Marco Hutter, Cesar Cadena:
CaRLi-V: Camera-RADAR-LiDAR Point-Wise 3D Velocity Estimation. - Xinyu Ding, Bangtian Liu, Siyu Liao, Zhongfeng Wang:
Memory-Efficient Training with In-Place FFT Implementation. - Muhammed Yusuf Kartal, Suha Kagan Kose, Korhan Sevinç, Burak Aktas:
RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets. - Xinyu Mao, Junsi Li, Haoji Zhang, Yu Liang, Ming Sun:
SEPS: Semantic-enhanced Patch Slimming Framework for fine-grained cross-modal alignment. - Dang Kien Nguyen, Rim El Malki, Filippo Rebecchi, Raymond Knopp, Melek Önen:
Beyond Static Thresholds: Adaptive RRC Signaling Storm Detection with Extreme Value Theory. - Hanzhong Liang, Yue Duan, Xing Su, Xiao Li, Yating Liu, Yulong Tian, Fengyuan Xu, Sheng Zhong:
ConneX: Automatically Resolving Transaction Opacity of Cross-Chain Bridges for Security Analysis. - Maimouna Tamah Diao, Moustapha Awwalou Diouf, Iyiola Emmanuel Olatunji, Abdoul Kader Kaboré, Gervais Mendy, Jacques Klein, Tegawendé F. Bissyandé:
Characterizing Build Compromises Through Vulnerability Disclosure Analysis. - Clément Yvernes, Emilie Devijver, Adèle H. Ribeiro, Marianne Clausel--Lesourd, Éric Gaussier:
Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering. - Ya Wen, Yutong Qiao, Chi Chiu Lam, Ioannis K. Brilakis, Sanghoon Lee, Mun On Wong:
Semantic BIM enrichment for firefighting assets: Fire-ART dataset and panoramic image-based 3D reconstruction. - Pei Yu Chang, Qizhe Xu, Vishnu Renganathan, Qadeer Ahmed:
Risk Aware Safe Control with Cooperative Sensing for Dynamic Obstacle Avoidance. - Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin:
A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation. - Paolo Rabino, Gabriele Tiboni, Tatiana Tommasi:
FoldPath: End-to-End Object-Centric Motion Generation via Modulated Implicit Paths. - Markus B. Pettersson, Adel Daoud:
Leveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty Mapping. - Heng Zhou, Ao Yu, Yuchen Fan, Jianing Shi, Li Kang, Hejia Geng, Yongting Zhang, Yutao Fan, Yuhao Wu, Tiancheng He, Yiran Qin, Lei Bai, Zhenfei Yin:
LiveSearchBench: An Automatically Constructed Benchmark for Retrieval and Reasoning over Dynamic Knowledge. - Reza Karimzadeh, Albert Alonso, Frans Zdyb, Julius B. Kirkegaard, Bulat Ibragimov:
Extremal Contours: Gradient-driven contours for compact visual attribution. - Angelos Gkekas, Nikos A. Mitsiou, Ioannis Souldatos, George K. Karagiannidis:
On the Computability of Finding Capacity-Achieving Codes. - Amrapali Pednekar, Álvaro Garrido-Pérez, Yara Khaluf, Pieter Simoens:
Modulation of temporal decision-making in a deep reinforcement learning agent under the dual-task paradigm. - Bassel Rafie, Christian Schindler, Andreas Rausch:
VeriODD: From YAML to SMT-LIB - Automating Verification of Operational Design Domains. - Yongqi Yang, Huayang Huang, Xu Peng, Xiaobin Hu, Donghao Luo, Jiangning Zhang, Chengjie Wang, Yu Wu:
Towards One-step Causal Video Generation via Adversarial Self-Distillation. - Christoph Lenzen:
Gradient Clock Synchronization with Practically Constant Local Skew. - Yusuf Saltan, Jyun-Jhe Wang, Arda Kosay, Chung-Wei Lin, Muhammed O. Sayin:
Designing Non-monetary Intersection Control Mechanisms for Efficient Selfish Routing. - Ruidi He, Yu Zhang, Meng Zhang, Andreas Rausch:
LLM-Assisted Tool for Joint Generation of Formulas and Functions in Rule-Based Verification of Map Transformations. - Yuhang Huang, Zekai Lin, Fan Zhong, Lei Liu:
Learning to Seek Evidence: A Verifiable Reasoning Agent with Causal Faithfulness Analysis. - Yinchao Ma, Yuyang Tang, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Feng Wu:
UniSOT: A Unified Framework for Multi-Modality Single Object Tracking. - Seunghun Yu, Youngjoon Lee, Jinu Gong, Joonhyuk Kang:
CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment. - Seongkyu Choi, Jhonghyun An:
Terrain-Enhanced Resolution-aware Refinement Attention for Off-Road Segmentation. - Si Woo Kim, Jhonghyun An:
Contrast-Guided Cross-Modal Distillation for Thermal Object Detection. - Elian Neppel, Shamistan Karimov, Ashutosh Mishra, Gustavo Hernan Diaz, Hazal Gozbasi, Kentaro Uno, Shreya Santra, Kazuya Yoshida:
Designing for Distributed Heterogeneous Modularity: On Software Architecture and Deployment of MoonBots. - Jacob Poschl:
The Curvature Rate λ: A Scalar Measure of Input-Space Sharpness in Neural Networks. - Lutz Bornmann, Gerald Schweiger:
Reforming research funding: Combining editorial preregistration with grant peer review. - Chaoqun Fei, Tinglve Zhou, Tianyong Hao, Yangyang Li:
Efficient Curvature-aware Graph Network. - Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng:
Robust Multimodal Sentiment Analysis via Double Information Bottleneck. - Chengzhang Yu, YingRu He, Hongyan Cheng, Nuo Cheng, Zhixing Liu, Dongxu Mu, Zhangrui Shen, Zhanpeng Jin:
From Passive to Proactive: A Multi-Agent System with Dynamic Task Orchestration for Intelligent Medical Pre-Consultation. - Zhengjun Huang, Zhoujin Tian, Qintian Guo, Fangyuan Zhang, Yingli Zhou, Di Jiang, Xiaofang Zhou:
LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning. - Riddhi Jain, Manasi Patwardhan, Aayush Mishra, Parijat Deshpande, Beena Rai:
Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction. - Jie Du, Xinyu Gong, Qingshan Tan, Wen Li, Yangming Cheng, Weitao Wang, Chenlu Zhan, Suhui Wu, Hao Zhang, Jun Zhang:
Reg-DPO: SFT-Regularized Direct Preference Optimization with GT-Pair for Improving Video Generation. - Jiacheng Wang, Changyuan Zhao, Jialing He, Geng Sun, Weijie Yuan, Dusit Niyato, Liehuang Zhu, Tao Xiang:
Security-Aware Joint Sensing, Communication, and Computing Optimization in Low Altitude Wireless Networks. - Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels, Mauro Salazar:
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games - Part I: Equilibria. - Sergio Torres Aguilar:
"Don't Teach Minerva": Guiding LLMs Through Complex Syntax for Faithful Latin Translation with RAG. - Dennis Pierantozzi, Luca Carlini, Mauro Orazio Drago, Chiara Lena, Cesare Hassan, Elena De Momi, Danail Stoyanov, Sophia Bano, Mobarak I. Hoque:
When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA. - Alaa Awad Abdellatif, Helder Fontes, André Coelho, Luís M. Pessoa, Rui Campos:
Edge-Enabled UAV Swarm Deployment for Rapid Post-Disaster Search and Rescue. - Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin:
CAT-ID2: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce. - Peng Xia, Junbiao Pang, Tianyang Cai:
Efficiently Training A Flat Neural Network Before It has been Quantizated. - Lei Hu, Yongjing Ye, Shihong Xia:
HMVLM: Human Motion-Vision-Lanuage Model via MoE LoRA. - Casian Iacob, Hassan Razavi, Simo Särkkä:
A parallel-in-time Newton's method-based ODE solver. - Changyuan Zhao, Jiacheng Wang, Ruichen Zhang, Dusit Niyato, Hongyang Du, Zehui Xiong, Dong In Kim, Ping Zhang:
SecDiff: Diffusion-Aided Secure Deep Joint Source-Channel Coding Against Adversarial Attacks. - Hao Wang, Zixuan Weng, Jindong Han, Wei Fan, Hao Liu:
DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation. - Lujie Niu, Lei Shen, Yi Jiang, Caixia Yuan, Xiaojie Wang, Wenbo Su, Bo Zheng:
BARD: budget-aware reasoning distillation. - Sarthak Mishra, Rishabh Dev Yadav, Avirup Das, Saksham Gupta, Wei Pan, Spandan Roy:
AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models. - Cankut Bora Tuncer, Marc Toussaint, Ozgur S. Oguz:
MO-SeGMan: Rearrangement Planning Framework for Multi Objective Sequential and Guided Manipulation in Constrained Environments. - Silvia Preda, Walter Boscheri, Matteo Semplice, Maurizio Tavelli:
SCOUT: Semi-Lagrangian COnservative and Unconditionally sTable schemes for nonlinear advection-diffusion problems. - Neha Sharma, Navneet Agarwal, Kairit Sirts:
Towards Consistent Detection of Cognitive Distortions: LLM-Based Annotation and Dataset-Agnostic Evaluation. - Shunyuan Shang, Emna Zedini, Mohamed-Slim Alouini:
Enhancing Non-Terrestrial Network Performance with Free Space Optical Links and Intelligent Reflecting Surfaces. - M. Sadik Batcha, Younis Rashid Dar, Muneer Ahmad:
Impact and Relevance of Cognition Journal in the Field of Cognitive Science: An Evaluation. - Shunyuan Shang, Emna Zedini, Abla Kammoun, Mohamed-Slim Alouini:
Optical Intelligent Reflecting Surfaces Empowering Non-Terrestrial Communications. - Qurat-ul-ain Shaheen, Katarzyna Budzynska, Carles Sierra:
An Explanation-oriented Inquiry Dialogue Game for Expert Collaborative Recommendations. - Max Schaffelder, Albert Gatt:
Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning. - Irched Chafaa, E. Veronica Belmega, Giacomo Bacci:
Deep Learning Prediction of Beam Coherence Time for Near-FieldTeraHertz Networks. - Philipp A. Guth, Vesa Kaarnioja:
On the optimality of dimension truncation error rates for a class of parametric partial differential equations. - Wei Huang, Jiaxin Li, Zang Wan, Huijun Di, Wei Liang, Zhu Yang:
Floor Plan-Guided Visual Navigation Incorporating Depth and Directional Cues. - Muneer Ahmad, M. Sadik Batcha, Wasim Rashid, Obaid Hafiz:
Calculating Web Impact Factor for University Websites of Jammu and Kashmir: A Study. - Zhiyang Jia, Hongyan Cui, Ge Gao, Bo Li, Minjie Zhang, Zishuo Gao, Huiwen Huang, Caisheng Zhuo:
EPAN: Robust Pedestrian Re-Identification via Enhanced Alignment Network for IoT Surveillance. - Yufeng Jin, Niklas Funk, Vignesh Prasad, Zechu Li, Mathias Franzius, Jan Peters, Georgia Chalvatzaki:
SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation. - Mengtan Zhang, Zizhan Guo, Hongbo Zhao, Yi Feng, Zuyi Xiong, Yue Wang, Shaoyi Du, Hanli Wang, Rui Fan:
Discriminately Treating Motion Components Evolves Joint Depth and Ego-Motion Learning. - Derong Kong, Zhixiong Yang, Shengxi Li, Shuaifeng Zhi, Li Liu, Zhen Liu, Jingyuan Xia:
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement. - Ayesha Afroza Mohsin, Mashrur Ahsan, Nafisa Maliyat, Shanta Maria, Syed Rifat Raiyan, Hasan Mahmud, Md. Kamrul Hasan:
BanglaNirTox: A Large-scale Parallel Corpus for Explainable AI in Bengali Text Detoxification. - Andrei-Timotei Ardelean, Tim Weyrich:
Example-Based Feature Painting on Textures. - Serkan Ozturk, Samet Hicsonmez, Pinar Duygulu:
NSYNC: Negative Synthetic Image Generation for Contrastive Training to Improve Stylized Text-To-Image Translation. - Shipeng Lyu, Lijie Sheng, Fangyuan Wang, Wenyao Zhang, Weiwei Lin, Zhenzhong Jia, David Navarro-Alarcon, Guodong Guo:
Phy-Tac: Toward Human-Like Grasping via Physics-Conditioned Tactile Goals. - Seokhoon Kang, Yejin Jeon, Seonjeong Hwang, Gary Geunbae Lee:
Difficulty-Controllable Cloze Question Distractor Generation. - Hanwen Xu, Xuyao Huang, Yuzhe Liu, Kai Yu, Zhijie Deng:
TPS-Bench: Evaluating AI Agents' Tool Planning \& Scheduling Abilities in Compounding Tasks. - Murali Sridharan, Mikel Robredo, Leevi Rantala, Matteo Esposito, Valentina Lenarduzzi, Mika Mäntylä:
Hidden in Plain Sight: Where Developers Confess Self-Admitted Technical Debt. - Zhuohua Shen, Junpeng Zhang, Martin S. Andersen, Tianshi Chen:
Numerically Efficient and Stable Algorithms for Kernel-Based Regularized System Identification Using Givens-Vector Representation. - Tulasi Sowjanya B., Prasad Krishnan:
A Hypergraph based lower bound on Pliable Index Coding based on Nested Side-Information Sets. - Arthur Hubert, Gamal Elghazaly, Raphaël Frank:
Driving scenario generation and evaluation using a structured layer representation and foundational models. - Ronivaldo Ferreira, Guilherme da Silva, Carla Rocha, Gustavo Pinto:
From Pre-labeling to Production: Engineering Lessons from a Machine Learning Pipeline in the Public Sector. - Ge Gao, Zishuo Gao, Hongyan Cui, Zhiyang Jia, Zhuang Luo, Chaopeng Liu:
PCD-ReID: Occluded Person Re-Identification for Base Station Inspection. - Mikhail Konov, Lion J. Gleiter, Khoa Co, Monica Yabal, Tingying Peng:
NOA: a versatile, extensible tool for AI-based organoid analysis. - Ujjwal Sharma, Stevan Rudinac, Ana Mickovic, Willemijn van Dolen, Marcel Worring:
Analyzing Sustainability Messaging in Large-Scale Corporate Social Media. - Elvin Hajizada, Danielle Rager, Timothy Shea, Leobardo Campos-Macias, Andreas Wild, Eyke Hüllermeier, Yulia Sandamirskaya, Mike Davies:
Real-time Continual Learning on Intel Loihi 2. - Aditya Kapoor, Yash Bhisikar, Benjamin Freed, Jan Peters, Mingfei Sun:
Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning. - Luciana Ciringione, Emma Franchino, Simone Reigl, Isaia D'Onofrio, Anna Serbati, Oleksandra Poquet, Florence Gabriel, Massimo Stella:
Math anxiety and associative knowledge structure are entwined in psychology students but not in Large Language Models like GPT-3.5 and GPT-4o. - Jack Stade:
NP-membership for the boundary-boundary art-gallery problem. - Sai Shruthi Srinivasan, Siva Nadarajah:
An Adaptive Flux Reconstruction Scheme for Robust Shock Capturing. - Seungmin Shin, Dooyoung Kim, Youngjoong Ko:
ECO Decoding: Entropy-Based Control for Controllability and Fluency in Controllable Dialogue Generation. - Xiaosha Xue, Peibo Duan, Zhipeng Liu, Qi Chu, Changsheng Zhang, Bin Zhang:
Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction. - Wenqi Liang, Gan Sun, Yao He, Jiahua Dong, Suyan Dai, Ivan Laptev, Salman H. Khan, Yang Cong:
PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model. - Wang Hao, Kuan Zhang, Hou Chengyu, Yuan Zhonghao, Tan Chenxing, Fu Weifeng, Zhu Yangying:
HIT-ROCKET: Hadamard-vector Inner-product Transformer for ROCKET. - Melanie Tonarelli, Simone Riva, Pietro Benedusi, Fabrizio Ferrandi, Rolf Krause:
Adaptive Multidimensional Quadrature on Multi-GPU Systems. - Md. Sumon Ali, Muzammil Behzad:
Generative Adversarial Synthesis and Deep Feature Discrimination of Brain Tumor MRI Images. - Chengzhang Yu, Zening Lu, Chenyang Zheng, Chiyue Wang, Yiming Zhang, Zhanpeng Jin:
ExplicitLM: Decoupling Knowledge from Parameters via Explicit Memory Banks. - Daniel Mauricio Jimenez Gutierrez, Enrique Zuazua, Joaquín del Río, Oleksii Sliusarenko, Xabi Uribe-Etxebarria:
Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems. - Mustapha Regragui, Karel J. in 't Hout, Michèle Vanmaele, Fred Espen Benth:
Numerical methods for solving PIDEs arising in swing option pricing under a two-factor mean-reverting model with jumps. - Zhicheng Wang, Chen Ju, Xu Chen, Shuai Xiao, Jinsong Lan, Xiaoyong Zhu, Ying Chen, Zhiguo Cao:
Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization. - Wenjie Hua, Hoang H. Nguyen, Gangyan Ge:
BIRD: Bronze Inscription Restoration and Dating. - Yongcun Hu, Yingzhen Zhai, Jixiang Luo, Wenrui Dai, Dell Zhang, Hongkai Xiong, Xuelong Li:
EV-NVC: Efficient Variable bitrate Neural Video Compression. - Natália Ribeiro Marinho, Richard Loendersloot, Frank Grooteman, Jan Willem Wiegman, Uraz Odyurt, Tiedo Tinga:
Defining Energy Indicators for Impact Identification on Aerospace Composites: A Physics-Informed Machine Learning Perspective. - Yizhu Chen, Chen Ju, Zhicheng Wang, Shuai Xiao, Xu Chen, Jinsong Lan, Xiaoyong Zhu, Ying Chen:
Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation. - Renjun Gao, Peiyan Zhong:
MARS: Multi-Agent Robotic System with Multimodal Large Language Models for Assistive Intelligence. - Tomás Martínek, Michal Malý:
Evaluation of compliance with democratic and technical standards of i-voting in elections to academic senates in Czech higher education. - Agnar Martin Bjørnstad, Elias Stenhede, Arian Ranjbar:
Lite ENSAM: a lightweight cancer segmentation model for 3D Computed Tomography. - Xinyue Yang, Chen Zheng, Yaoyang Hou, Renhao Zhang, Yinyan Zhang, Yanjun Wu, Heng Zhang:
L2T-Tune:LLM-Guided Hybrid Database Tuning with LHS and TD3. - Daniel Busbib, Ami Wiesel:
Estimation of Toeplitz Covariance Matrices using Overparameterized Gradient Descent. - Mahmut S. Gokmen, Cody Bumgardner:
DINO-MX: A Modular & Flexible Framework for Self-Supervised Learning. - Tomás Krsicka, Tibor Kubík:
Benchmark-Ready 3D Anatomical Shape Classification. - Francisco Portillo López:
Imperfect Language, Artificial Intelligence, and the Human Mind: An Interdisciplinary Approach to Linguistic Errors in Native Spanish Speakers. - Arnold Reusken:
Analysis of a Schwarz-Fourier domain decomposition method. - Mohamed Eltahir, Ali Habibullah, Lama Ayash, Tanveer Hussain, Naeemullah Khan:
Vote-in-Context: Turning VLMs into Zero-Shot Rank Fusers. - Xiaoyu Zhan, Wenxuan Huang, Hao Sun, Xinyu Fu, Changfeng Ma, Shaosheng Cao, Bohan Jia, Shaohui Lin, Zhenfei Yin, Lei Bai, Wanli Ouyang, Yuanqi Li, Jie Guo, Yanwen Guo:
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models. - Nikola Ljubesic, Peter Rupnik, Ivan Porupski, Taja Kuzman Pungersek:
ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian. - Han Weng, Zhou Liu, Yuanfeng Song, Xiaoming Yin, Xing Chen, Wentao Zhang:
UniDataBench: Evaluating Data Analytics Agents Across Structured and Unstructured Data. - Balázs Mészáros, James C. Knight, Danyal Akarca, Thomas Nowotny:
Space as Time Through Neuron Position Learning. - Chengying Huan, Ziheng Meng, Yongchao Liu, Zhengyi Yang, Yun Zhu, Yue Yun, Shipeng Li, Rong Gu, Xiabao Wu, Haitao Zhang, Chuntao Hong, Shaonan Ma, Guihai Chen, Chen Tian:
Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving. - Daniyal Ganiuly, Assel Smaiyl:
Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models. - Mazen Alamir:
On polynomial explicit partial estimator design for nonlinear systems with parametric uncertainties. - Sicheng Wang, Shuhao Chen, Jingran Zhou, Chengyi Tu:
IVGAE-TAMA-BO: A novel temporal dynamic variational graph model for link prediction in global food trade networks with momentum structural memory and Bayesian optimization. - Xiaopeng Ke, Yihan Yu, Ruyue Zhang, Zhishuo Zhou, Fangzhou Shi, Chang Men, Zhengdan Zhu:
Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking. - Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici, Pablo Barrachina Rodriguez-Guisado, Marco Brambilla, Piero Fraternali:
A Graph-based RAG for Energy Efficiency Question Answering. - Xiaogang Xu, Ruihang Chu, Jian Wang, Kun Zhou, Wenjie Shu, Harry Yang, Ser-Nam Lim, Hao Chen, Liang Lin:
Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward. - Hung-Shin Lee, Chin-Chen Chang, Ching-Yuan Chen, Yun-Hsiang Hsu:
Evaluating Cultural Knowledge Processing in Large Language Models: A Cognitive Benchmarking Framework Integrating Retrieval-Augmented Generation. - Ayesha Gull, Muhammad Usman Safder, Rania Elbadry, Preslav Nakov, Zhuohan Xie:
EngChain: A Symbolic Benchmark for Verifiable Multi-Step Reasoning in Engineering. - Congcong Chen, Xinyu Liu, Kaifeng Huang, Lifei Wei, Yang Shi:
Panther: A Cost-Effective Privacy-Preserving Framework for GNN Training and Inference Services in Cloud Environments. - Louis Bradshaw, Alexander Spangher, Stella Biderman, Simon Colton:
The Ghost in the Keys: A Disklavier Demo for Human-AI Musical Co-Creativity. - Yueqing Xi, Yifan Bai, Huasen Luo, Weiliang Wen, Hui Liu, Haoliang Li:
Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics. - Chaoqun Liu, Mahani Aljunied, Guizhen Chen, Hou Pong Chan, Weiwen Xu, Yu Rong, Wenxuan Zhang:
SeaLLMs-Audio: Large Audio-Language Models for Southeast Asia. - Tamás Kriváchy:
Incorrect Citation Association for Articles in Online-Only Springer Nature Journals. - Ropeway Liu, Hangjie Yuan, Bo Dong, Jiazheng Xing, Jinwang Wang, Rui Zhao, Yan Xing, Weihua Chen, Fan Wang:
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback. - Kirk Vanacore, Jaclyn Ocumpaugh, Forest Agostinelli, Dezhi Wu, Sai Krishna Revanth Vuruma, Matthew Irvin:
Student Engagement in AI Assisted Complex Problem Solving: A Pilot Study of Human AI Rubik's Cube Collaboration. - Sharan Maiya, Henning Bartsch, Nathan Lambert, Evan Hubinger:
Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI. - Hossein Abdi, Mingfei Sun, Wei Pan:
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering. - Jungyeon Koh, Hyun Jong Yang:
Collaborative Large Language Model Inference via Resource-Aware Parallel Speculative Decoding. - Yuhang Kang, Ziyu Su, Tianyang Wang, Zaibo Li, Wei Chen, Muhammad Khalid Khan Niazi:
Progressive Translation of H&E to IHC with Enhanced Structural Fidelity. - Mirco A. Mannucci:
Solution Space Topology Guides CMTS Search. - Vesa Kaarnioja, Andreas Rupp, Jay Gopalakrishnan:
Sufficient conditions for QMC analysis of finite elements for parametric differential equations. - Xin Qiao, Matteo Poggi, Xing Wei, Pengchao Deng, Yanhui Zhou, Stefano Mattoccia:
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond. - Sekh Mainul Islam, Pepa Atanasova, Isabelle Augenstein:
Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement. - Jiale Lao, Andreas Zimmerer, Olga Ovcharenko, Tianji Cong, Matthew Russo, Gerardo Vitagliano, Michael Cochez, Fatma Özcan, Gautam Gupta, Thibaud Hottelier, H. V. Jagadish, Kris Kissel, Sebastian Schelter, Andreas Kipf, Immanuel Trummer:
SemBench: A Benchmark for Semantic Query Processing Engines. - Jiayi Chen, Wenxuan Song, Pengxiang Ding, Ziyang Zhou, Han Zhao, Feilong Tang, Donglin Wang, Haoang Li:
Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process. - Mahammad Nuriyev:
Efficient Tool-Calling Multi-Expert NPC Agent for Commonsense Persona-Grounded Dialogue. - Yi Zhang, Zheng Wang, Chen Zhen, Wenjie Ruan, Qing Guo, Siddartha Khastgir, Carsten Maple, Xingyu Zhao:
Probabilistic Robustness for Free? Revisiting Training via a Benchmark. - Félix del Teso, Stefano Fronzoni, David Gómez-Castro:
Finite Elements with weighted bases for the fractional Laplacian. - Tom Odem:
Toward Strategy Identification and Subtask Decomposition In Task Exploration. - Yefeng Wu, Yuchen Song, Ling Wu, Shan Wan, Yecheng Zhao:
CGF-DETR: Cross-Gated Fusion DETR for Enhanced Pneumonia Detection in Chest X-rays. - Georgios Vretinaris:
A Low-Rank BUG Method for Sylvester-Type Equations. - Charles Yuan:
Cobble: Compiling Block Encodings for Quantum Computational Linear Algebra. - Obaidullah Zaland, Feras M. Awaysheh, Sawsan Al-Zubi, Abdul Rahman Safi, Monowar Bhuyan:
Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off? - Dmitrij Schlesinger, Boris Flach:
Game-theoretic distributed learning of generative models for heterogeneous data collections. - Ameya S. Bhave, Navnil Choudhury, Kanad Basu:
HyperNQ: A Hypergraph Neural Network Decoder for Quantum LDPC Codes. - Song Gao, Shusen Jing, Shuai Zhang, Yue Wang, Xiangwei Zhou, Songyang Zhang:
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing. - Mei-Chin Pang, Suraj Adhikari, Takuma Kasahara, Nagihiro Haba, Saneyuki Ohno:
An Open-Access Benchmark of Statistical and Machine-Learning Anomaly Detection Methods for Battery Applications. - Chen-Wei Chang, Shailik Sarkar, Hossein Salemi, Hyungmin Kim, Shutonu Mitra, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu:
Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks. - Frederik J. Zuiderveen Borgesius:
Breyer case of the Court of Justice of the European Union: IP addresses and the personal data definition. - Frederik J. Zuiderveen Borgesius, Joris Van Hoboken, Ronan Fahy, Kristina Irion, Max Rozendaal:
An assessment of the Commission's Proposal on Privacy and Electronic Communications. - Zachary Hansen, Yuliya Lierler:
SM-based Semantics for Answer Set Programs Containing Conditional Literals and Arithmetic. - Arnold Beckmann, Anton Setzer:
Access Hoare Logic. - Rong Li, Yuhao Dong, Tianshuai Hu, Ao Liang, Youquan Liu, Dongyue Lu, Liang Pan, Lingdong Kong, Junwei Liang, Ziwei Liu:
3EED: Ground Everything Everywhere in 3D. - Kai Zhai, Ziyan Huang, Qiang Nie, Xiang Li, Bo Ouyang:
HGFreNet: Hop-hybrid GraphFomer for 3D Human Pose Estimation with Trajectory Consistency in Frequency Domain. - Shamse Tasnim Cynthia, Banani Roy:
Towards LLM-Powered Task-Aware Retrieval of Scientific Workflows for Galaxy. - Mian Wu, Gavin Zhang, Sewon Min, Sergey Levine, Aviral Kumar:
RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks. - Rylan Spence, Troy D. Butler, Clint Dawson:
Variational Data-Consistent Assimilation. - Xiaohan Wang, Yuxin Hu, Kevin Leach:
Context-Guided Decompilation: A Step Towards Re-executability. - Yuxiao Yang, Xiaoxiao Long, Zhiyang Dou, Cheng Lin, Yuan Liu, Qingsong Yan, Yuexin Ma, Haoqian Wang, Zhiqiang Wu, Wei Yin:
Wonder3D++: Cross-domain Diffusion for High-fidelity 3D Generation from a Single Image. - Zhe Liu, Jinghua Hou, Xiaoqing Ye, Jingdong Wang, Hengshuang Zhao, Xiang Bai:
UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs. - Omri Ben-Eliezer, Krzysztof Onak, Sandeep Silwal:
Robust Streaming Against Low-Memory Adversaries. - Liudi Yang, Yang Bai, Yuhao Wang, Ibrahim Alsarraj, Gitta Kutyniok, Zhanchi Wang, Ke Wu:
Lightweight Learning from Actuation-Space Demonstrations via Flow Matching for Whole-Body Soft Robotic Grasping. - Daniel Jimon, Mircea Vaida, Adriana Stan:
ADNAC: Audio Denoiser using Neural Audio Codec. - Alexander Schperberg, Yusuke Tanaka, Stefano Di Cairano, Dennis W. Hong:
MOBIUS: A Multi-Modal Bipedal Robot that can Walk, Crawl, Climb, and Roll. - Zhen Chen, Qing Xu, Jinlin Wu, Biao Yang, Yuhao Zhai, Geng Guo, Jing Zhang, Yinlu Ding, Nassir Navab, Jiebo Luo:
How Far Are Surgeons from Surgical World Models? A Pilot Study on Zero-shot Surgical Video Generation with Expert Assessment. - Yang Ni, Yanzhuo Cao:
Exploring ChatGPT's Capabilities, Stability, Potential and Risks in Conducting Psychological Counseling through Simulations in School Counseling. - Thorben Prein, Willis O'Leary, Aikaterini Flessa Savvidou, Elchaïma Bourneix, Joonatan E. M. Laulainen:
A Synthesizability-Guided Pipeline for Materials Discovery. - Feng Chen, Zhuxiu Xu, Tianzhe Chu, Xunzhe Zhou, Li Sun, Zewen Wu, Shenghua Gao, Zhongyu Li, Yanchao Yang, Yi Ma:
GenDexHand: Generative Simulation for Dexterous Hands. - Borong Zhang, Junjing Deng, Yi Jiang, Zichao Wendy Di:
Stochastic Multigrid Method for Blind Ptychographic Phase Retrieval. - Vi Retault, Yohaï-Eliel Berreby:
Random Initialization of Gated Sparse Adapters. - Gabriel Nobis, Maximilian Springenberg, Arina Belova, Rembert Daems, Christoph Knochenhauer, Manfred Opper, Tolga Birdal, Wojciech Samek:
Fractional Diffusion Bridge Models. - Javier Ballesteros-Jerez, Jesus Martínez-Gómez, Ismael García-Varea, Luis Orozco-Barbosa, Manuel Castillo-Cara:
Hybrid Neural Network-Based Indoor Localisation System for Mobile Robots Using CSI Data in a Robotics Simulator. - Dimitrios Tyrovolas, Sotiris A. Tegos, Yue Xiao, Panagiotis D. Diamantoulakis, Sotiris Ioannidis, Christos Liaskos, George K. Karagiannidis, Stylianos D. Asimonis:
Ergodic Rate Analysis of Two-State Pinching-Antenna Systems. - Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan:
Bayesian Coreset Optimization for Personalized Federated Learning. - Tejas Sarnaik, Manan Shah, Ravi Hegde:
PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution. - Viraj Patel, Lisa Kreusser, Katharine Fraser:
Dynamic Reconstruction of Ultrasound-Derived Flow Fields With Physics-Informed Neural Fields. - Jiayi Geng, Howard Chen, Ryan Liu, Manoel Horta Ribeiro, Robb Willer, Graham Neubig, Thomas L. Griffiths:
Accumulating Context Changes the Beliefs of Language Models. - Adewale Akinfaderin, Shreyas Subramanian, Akarsha Sehwag:
Plan-and-Write: Structure-Guided Length Control for LLMs without Model Retraining. - Konrad Staniszewski, Adrian Lancucki:
KV Cache Transform Coding for Compact Storage in LLM Inference. - Maryam Bagherian:
No-rank Tensor Decomposition Using Metric Learning. - Sagi Eppel, Alona Strugatski:
SciTextures: Collecting and Connecting Visual Patterns, Models, and Code Across Science and Art. - Hamed Fard, Mahsa Kholghi, Benedikt Groß, Gerhard Wunder:
Machine and Deep Learning for Indoor UWB Jammer Localization. - Yuetai Li, Huseyin A. Inan, Xiang Yue, Wei-Ning Chen, Lukas Wutschitz, Janardhan Kulkarni, Radha Poovendran, Robert Sim, Saravan Rajmohan:
Simulating Environments with Reasoning Models for Agent Training. - Dhruv Bihani, A. K. M. Amanat Ullah, Charles-Olivier Dufresne Camaro, William Delamare, Khalad Hasan:
Exploring Pointer Enhancement Techniques for Target Selection on Large Curved Display. - Paul Setinek, Gianluca Galletti, Johannes Brandstetter:
Towards Multi-Fidelity Scaling Laws of Neural Surrogates in CFD. - Jay Mohta, Kenan Emir Ak, Dimitrios Dimitriadis, Yan Xu, Mingwei Shen:
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models. - Ming Li, Jike Zhong, Shitian Zhao, Haoquan Zhang, Shaoheng Lin, Yuxiang Lai, Chen Wei, Konstantinos Psounis, Kaipeng Zhang:
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning. - Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur, Valérie Costa, Greta Tuckute, Oam Patel, Sonia Krishna Murthy, Thomas Fel, Daniel Wurgaft, Eric J. Bigelow, Johnny Lin, Demba Ba, Martin Wattenberg, Fernanda B. Viégas, Melanie Weber, Aaron Mueller:
Priors in Time: Missing Inductive Biases for Language Model Interpretability. - Isabela Suaza-Sierra, Hernan A. Moreno, Luis A. de la Fuente, Thomas M. Neeson:
Interpretable Machine Learning for Reservoir Water Temperatures in the U.S. Red River Basin of the South. - Zirui Deng, Netanel Raviv:
Efficient Vector Symbolic Architectures from Histogram Recovery. - Nelusha Nugegoda, Marium-E-Jannat, Khalad Hasan, Patricia Lasserre:
Exploring the Effect of Viewing Attributes of Mobile AR Interfaces on Remote Collaborative and Competitive Tasks. - Greta Ontrup, Annika Bush, Markus Pauly, Meltem Aksoy:
A Detailed Study on LLM Biases Concerning Corporate Social Responsibility and Green Supply Chains. - Andrew Gooding, Kevin Porter, Thomas Lopatic, Ashish Shinde, Sunil Sayyaparaju, Srinivasan Seshadri, V. Srinivasan:
LARK - Linearizability Algorithms for Replicated Keys in Aerospike. - Thang Luong, Dawsen Hwang, Hoang H. Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee, Swaroop Mishra, Alex Zhai, Clara Huiyi Hu, Henryk Michalewski, Jimin Kim, Jeonghyun Ahn, Junhwi Bae, Xingyou Song, Trieu H. Trinh, Quoc V. Le, Junehyuk Jung:
Towards Robust Mathematical Reasoning. - Zhi Wang, Chicheng Zhang, Ramya Korlakai Vinayak:
Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure. - Jiawei Jin, Yingxin Su, Xiaotong Zhu:
SmartMLOps Studio: Design of an LLM-Integrated IDE with Automated MLOps Pipelines for Model Development and Monitoring. - Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng:
Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games. - Elias Lumer, Faheem Nizar, Anmol Gulati, Pradeep Honaganahalli Basavaraju, Vamse Kumar Subbiah:
Tool-to-Agent Retrieval: Bridging Tools and Agents for Scalable LLM Multi-Agent Systems. - Bettina Hanlon, Ángel F. García-Fernández:
Coordinate ascent neural Kalman-MLE for state estimation. - Reza Esfandiarpoor, Max Zuo, Stephen H. Bach:
Trove: A Flexible Toolkit for Dense Retrieval. - Leszek Sliwko:
A Taxonomy of Schedulers - Operating Systems, Clusters and Big Data Frameworks. - Johan G. Messchendorp, Mohammad Al-Turany, Volker Friese, Thorsten Kollegger, Bastian Loeher, Jochen Markert, Andrew Mistry, Thomas Neff, Adrian Oeftiger, Michael Papenbrock, Stephane Pietri, Shahab Sanjari, Tobias Stockmanns:
Conceptual Design Report for FAIR Computing. - Vanessa V. Sochat, Daniel Milroy:
Possible Futures for Cloud Cost Models. - Robert Fabian Lindermann, Paul-Niklas Ken Kandora, Simon Caspar Zeller, Adrian Asmund Fessler, Steffen Rebennack:
SPHERE: Spherical partitioning for large-scale routing optimization. - Indira Sen, Marlene Lutz, Elisa Rogers, David García, Markus Strohmaier:
Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs. - Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds:
Story and essential meaning dynamics in Bangladesh's July 2024 Student-People's Uprising. - Benjamin Kubwimana, Qijing Huang:
EdgeReasoning: Characterizing Reasoning LLM Deployment on Edge GPUs. - S. Tsiramua, Hamlet Meladze, Tinatin Davitashvili, J. M. Sánchez, Francisco Criado-Aldeanueva:
Structural Analysis of Multi-Core Processor and Reliability Evaluation Model. - Etash Guha, Tianxiao Jiang, Andrew Deng, Jian Zhang, Muthu Annamalai:
Learned Cost Model for Placement on Reconfigurable Dataflow Hardware. - Sathish Krishna Anumula:
Design-Based Supply Chain Operations Research Model: Fostering Resilience And Sustainability In Modern Supply Chains. - Babacar Seck, Anas Abdullah:
Gas Fire Power Plant Management Through Numerical Approximation of Spark Spread Options. - Zhengxin Fang, Hui Ma, Gang Chen, Rajkumar Buyya:
HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-based Cloud Computing. - Zijian Zhang, Rong Wang, Shiyang Li, Yuebo Luo, Mingyi Hong, Caiwen Ding:
CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization. - Robyn Wyrick:
Mirror-Neuron Patterns in AI Alignment. - Priya Ranjan:
Nonlinear Instabilities in Computer Network Dynamics. - Cynthia Marcelino, Thomas W. Pusztai, Stefan Nastic:
Roadrunner: Accelerating Data Delivery to WebAssembly-Based Serverless Functions. - Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen:
Multi-Personality Generation of LLMs at Decoding-time. - Ruibo Hou, Shiyu Teng, Jiaqing Liu, Shurong Chai, Yinhao Li, Lanfen Lin, Yen-Wei Chen:
Retrieval-Augmented Multimodal Depression Detection. - Bin Ma, Viktor Nikitin, Xi Wang, Tekin Bicer, Dong Li:
mLR: Scalable Laminography Reconstruction based on Memoization. - Fangbing Liu, Pengfei Duan, Wen Li, Yi He:
LGCC: Enhancing Flow Matching Based Text-Guided Image Editing with Local Gaussian Coupling and Context Consistency. - Sophie C. Boerman, Sanne Kruikemeier, Frederik J. Zuiderveen Borgesius:
Online Behavioral Advertising: A Literature Review and Research Agenda. - Alessandro Padella, Francesco Vinci, Massimiliano de Leoni:
An Experimental Comparison of Alternative Techniques for Event-Log Augmentation. - Hanie Vatani, Reza Ebrahimi Atani:
FedSelect-ME: A Secure Multi-Edge Federated Learning Framework with Adaptive Client Scoring. - Alexander Bakumenko, Aaron J. Masino, Janine Hoelscher:
Before the Clinic: Transparent and Operable Design Principles for Healthcare AI. - Doulaye Dembélé:
The Eigenvalues Entropy as a Classifier Evaluation Measure. - Noa Izsak:
Thinking Like a Student: AI-Supported Reflective Planning in a Theory-Intensive Computer Science Course. - Ameemah Humayun, Bushra Zubair, Maryam Mustafa:
Between Myths and Metaphors: Rethinking LLMs for SRH in Conservative Contexts. - Oisin O. Sullivan:
Security Audit of intel ICE Driver for e810 Network Interface Card. - Zhiwen Li, Cheuk Hin Ho, Lok Ming Lui:
Variational Geometry-aware Neural Network based Method for Solving High-dimensional Diffeomorphic Mapping Problems. - Wenzhe Fan, Ning Yan, Masood S. Mortazavi:
EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory. - Yuan Zhang, Chenyu Xue, Wenjie Xu, Chao Ji, Jiajia Wu, Jia Pan:
iFlyBot-VLA Technical Report. - Edoardo Conti, Riccardo Rosati, Lorenzo Federici, Adriano Mancini, Maria Chiara Fiorentin:
Challenging DINOv3 Foundation Model under Low Inter-Class Variability: A Case Study on Fetal Brain Ultrasound. - Ahmet Erdem Pamuk, Emir Kaan Özdemir, Suayp Talha Kocabay:
Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training. - Roberta Fiandaca, Manil Dev Gomony:
Fibbinary-Based Compression and Quantization for Efficient Neural Radio Receivers. - Lei Chen, Chaoyue Gao, Alvin Leung, Xiaoning Wang:
When Assurance Undermines Intelligence: The Efficiency Costs of Data Governance in AI-Enabled Labor Markets. - Seungwoo Yoo, Kyeongmin Yeo, Jisung Hwang, Minhyuk Sung:
Neural Green's Functions. - Yeqiu Chen, Ziyan Liu, Hong Wang:
DeepContour: A Hybrid Deep Learning Framework for Accelerating Generalized Eigenvalue Problem Solving via Efficient Contour Design. - Qingyue Long, Huandong Wang, Qi Ryan Wang, Yong Li:
A Unified Model for Human Mobility Generation in Natural Disasters. - Qingyue Long, Can Rong, Tong Li, Yong Li:
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model. - Haoming Wang, Wei Gao:
Deciphering Personalization: Towards Fine-Grained Explainability in Natural Language for Personalized Image Generation Models. - Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu:
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch. - Hasan Tutar, Caner Erden, Ümit Sentürk:
Q-Sat AI: Machine Learning-Based Decision Support for Data Saturation in Qualitative Studies. - Julián J. Salt Llobregat, Julian M. Salt Ducaju:
Autonomous Vehicle front steering control computation saving. - Abdelaziz Bounhar, Hadi Abdine, Evan Dufraisse, Ahmad Chamma, Amr Mohamed, Dani Bouch, Michalis Vazirgiannis, Guokan Shang:
Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR. - Tiberiu Musat:
The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold. - Sogol Masoumzadeh:
Detecting Vulnerabilities from Issue Reports for Internet-of-Things. - Khalil Rejiba, Sang-Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte-Kerzel, Ulrich Kerzel:
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows. - Guillaume Tejedor, Verónika Peralta, Nicolas Labroche, Patrick Marcel, Hélène Blasco, Hugo Alarcan:
Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis. - Zihan Li, Mingyang Wan, Mingyu Gao, Zhongshan Chen, Xiangke Wang, Feifan Zhang:
COFAP: A Universal Framework for COFs Adsorption Prediction through Designed Multi-Modal Extraction and Cross-Modal Synergy. - Md Abrar Hasnat, Md Jobayer, Md. Mehedi Hasan Shawon, Md. Golam Rabiul Alam:
Interpretable Heart Disease Prediction via a Weighted Ensemble Model: A Large-Scale Study with SHAP and Surrogate Decision Trees. - Prasanth K. K, Shubham Sharma:
EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory. - Manuel A. Hernandez Alonso, Michael Depass, Stephan Quessy, Numa Dancause, Ignasi Cos:
NeuroClean: A Generalized Machine-Learning Approach to Neural Time-Series Conditioning. - Jinhua Yin, Peiru Yang, Chen Yang, Huili Wang, Hu Zhiyang, Shangguang Wang, Yongfeng Huang, Tao Qi:
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing. - Marcos Florencio, Francielle Prieto:
Vibe Learning: Education in the age of AI. - Tugçe Bilen, Mehmet Özdem:
A Modular DTaaS Architecture for Predictive Slice Management in 6G Systems. - Saurabh Kaushik, Lalit Maurya, Elizabeth Tellman, ZhiJie Zhang:
Assessing the value of Geo-Foundational Models for Flood Inundation Mapping: Benchmarking models for Sentinel-1, Sentinel-2, and Planetscope for end-users. - Benjamin Walder, Daniel Toader, Robert Nuster, Günther Paltauf, Peter Burgholzer, Gregor Langer, Lukas Krainer, Markus Haltmeier:
Locally-Supervised Global Image Restoration. - Sangyun Park, Jin Kim, Yuchen Cui, Matthew S. Brown:
TRACE: Textual Reasoning for Affordance Coordinate Extraction. - Xiangru Jian, Zhengyuan Dong, M. Tamer Özsu:
InteracSPARQL: An Interactive System for SPARQL Query Refinement Using Natural Language Explanations. - Donghee Lee, Hye-Sung Lee, Jaeok Yi:
Bulk-boundary decomposition of neural networks. - Tuan Truong, Guillermo Jiménez-Pérez, Pedro Osório, Matthias Lenga:
Towards Selection of Large Multimodal Models as Engines for Burned-in Protected Health Information Detection in Medical Images. - Jace Aldrich, Odest Chadwicke Jenkins:
Stein-based Optimization of Sampling Distributions in Model Predictive Path Integral Control. - Aditya Sridhar, Nish Sinnadurai, Sean Lie, Vithursan Thangarasa:
TapOut: A Bandit-Based Approach to Dynamic Speculative Decoding. - Daniel Aarao Reis Arturi, Eric Zhang, Andrew Ansah, Kevin Zhu, Ashwinee Panda, Aishwarya Balwani:
Shared Parameter Subspaces and Cross-Task Linearity in Emergently Misaligned Behavior. - Rathin Chandra Shit:
Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance. - Zeyu Yang, Clayton Frederick Souza Leite, Yu Xiao:
StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities. - Duc A. Tran, Dung Truong, Duy Le:
RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients. - Shashank Motepalli, Naman Garg, Gengrui Zhang, Hans-Arno Jacobsen:
GPoS: Geospatially-aware Proof of Stake. - Parsa Hosseininejad, Kimia Khabiri, Shishir Gopinath, Soudabeh Mohammadhashemi, Karthik Dantu, Steven Y. Ko:
TurboMap: GPU-Accelerated Local Mapping for Visual SLAM. - Elham Gholamzadeh, Kajal Singla, Nico Scherf:
Predicting Microbial Interactions Using Graph Neural Networks. - Muhammad Zeeshan Haider, M. U. Ghouri, Tayyaba Noreen, M. Salman:
Quantum-Enhanced Generative Models for Rare Event Prediction. - Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angélica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali:
Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants. - Vivswan Shah, Randy Cogill, Hanwei Yue, Gopinath Chennupati, Rinat Khaziev:
Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning. - Soham Joshi, Shwet Kamal Mishra, Viswanath Gopalakrishnan:
Text-VQA Aug: Pipelined Harnessing of Large Multimodal Models for Automated Synthesis. - Hamidreza Sadeghsalehi:
A Dual-Use Framework for Clinical Gait Analysis: Attention-Based Sensor Optimization and Automated Dataset Auditing. - Nimrod Megiddo, Segev Wasserkrug, Orit Davidovich, Shimrit Shtern:
Finding Probably Approximate Optimal Solutions by Training to Estimate the Optimal Values of Subproblems. - Karol Radziszewski, Michal Szpunar, Piotr Ociepka, Mateusz Buczynski:
Solving cold start in news recommendations: a RippleNet-based system for large scale media outlet. - Sameer Wagh, Kenneth Stibler, Shubham Gupta, Lacey Strahm, Irina Bejan, Jiahao Chen, Dave Buckley, Ruchi Bhatia, Jack Bandy, Aayush Agarwal, Andrew Trask:
Private Map-Secure Reduce: Infrastructure for Efficient AI Data Markets. - Hersh Sanghvi, Spencer Folk, Vijay Kumar, Camillo Jose Taylor:
TACO: Trajectory-Aware Controller Optimization for Quadrotors. - Yuting Yang, Tiancheng Yuan, Jamal Hashim, Thiago Garrett, Jeffrey Qian, Ann Zhang, Yifan Wang, Weijia Song, Ken Birman:
Vortex: Hosting ML Inference and Knowledge Retrieval Services With Tight Latency and Throughput Requirements. - Hua Tong, Yongjie Jessica Zhang:
MCHex: Marching Cubes Based Adaptive Hexahedral Mesh Generation with Guaranteed Positive Jacobian. - Xinyi Lin, Yuyang Zhang, Yuanhang Gan, Juntao Chen, Hao Shen, Yichun He, Lijun Li, Ze Yuan, Shuang Wang, Chaohao Wang, Rui Zhang, Na Li, Jia Liu:
Human-AI Co-Embodied Intelligence for Scientific Experimentation and Manufacturing. - Jucheng Shen, Yeonju Ro:
Beyond Static Cutoffs: One-Shot Dynamic Thresholding for Diffusion Language Models. - Jamie Ngoc Dinh, Snehesh Shrestha, You-Jin Kim, Jun Nishida, Myungin Lee:
NeuResonance: Exploring Feedback Experiences for Fostering the Inter-brain Synchronization. - Kristóf Bérczi, Florian Hörsch, András Imolay, Tamás Schwarcz:
Fixed-parameter tractability and hardness for Steiner rooted and locally connected orientations. - Avi Bagchi, Akhil Bhimaraju, Moulik Choraria, Daniel Alabi, Lav R. Varshney:
Watermarking Discrete Diffusion Language Models. - Yue Yang, Fabian N. Necker, Christoph Leuze, Michelle Chen, Andrey Finegersh, Jake Lee, Vasu Divi, Bruce Daniel, Brian A. Hargreaves, Jie Ying Wu, Fred Baik:
Markerless Augmented Reality Registration for Surgical Guidance: A Multi-Anatomy Clinical Accuracy Study. - Sékou-Oumar Kaba, Kusha Sareen, Daniel Levy, Siamak Ravanbakhsh:
Energy Loss Functions for Physical Systems. - Stefan F. Schouten, Peter Bloem:
LLM Probing with Contrastive Eigenproblems: Improving Understanding and Applicability of CCS. - Lancelot Da Costa, Sanjeev Namjoshi, Mohammed Abbas Ansari, Bernhard Schölkopf:
Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling. - Kishansingh Rajput, Malachi Schram, Brian Sammuli, Sen Lin:
Uncertainty Guided Online Ensemble for Non-stationary Data Streams in Fusion Science. - Michel Ma, Takuma Seno, Kaushik Subramanian, Peter R. Wurman, Peter Stone, Craig Sherstan:
Automated Reward Design for Gran Turismo. - Amirreza Valaei, Arash Bahari Kordabad, Sadegh Soudjani:
Second-Order Policy Gradient Methods for the Linear Quadratic Regulator. - Savo Tomovic:
Numbering Combinations for Compact Representation of Many-to-Many Relationship Sets. - Peng-Fei Zhang, Ying Cheng, Xiaofan Sun, Shijie Wang, Fengling Li, Lei Zhu, Heng Tao Shen:
A Step Toward World Models: A Survey on Robotic Manipulation. - Rodrigo Mendoza-Smith:
Geometric Data Valuation via Leverage Scores. - Arjun Rao, Marc Rußwurm, Konstantin Klemmer, Esther Rolf:
Measuring the Intrinsic Dimension of Earth Representations. - Steven Cho, Stefano Ruberto, Valerio Terragni:
Metamorphic Testing of Large Language Models for Natural Language Processing. - Joshua Ashkinaze, Hua Shen, Sai Avula, Eric Gilbert, Ceren Budak:
Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences. - Miguel Pedro Silva:
Hopfield Neural Networks for Online Constrained Parameter Estimation with Time-Varying Dynamics and Disturbances. - Hai-Dang Kieu, Min Xu, Thanh Trung Huynh, Dung D. Le:
Enhancing Multimodal Recommendations with Vision-Language Models and Information-Aware Fusion. - Allan Andre do Nascimento, Han Wang, Antonis Papachristodoulou, Kostas Margellos:
Model Predictive Control with Multiple Constraint Horizons. - Mary P. Thomas, Martin Kandes, James McDougall, Dmitry Mishin, Scott Sakai, Subhashini Sivagnanam, Mahidhar Tatineni:
The SDSC Satellite Reverse Proxy Service for Launching Secure Jupyter Notebooks on High-Performance Computing Systems. - Ziheng Geng, Jiachen Liu, Ran Cao, Lu Cheng, Dan M. Frangopol, Minghui Cheng:
InsurAgent: A Large Language Model-Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance. - Xinyuan Song, Jiaye Teng, Ziye Ma:
Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape. - Xuheng Li, Quanquan Gu:
Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits. - Renos Zabounidis, Aditya Golatkar, Michael Kleinman, Alessandro Achille, Wei Xia, Stefano Soatto:
Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning. - Benjamin K. Tapley:
Explicit invariant-preserving integration of differential equations using homogeneous projection. - Mansi Choudhary, Karthik Sangaiah, Sonali Singh, Muhammad Osama, Lisa Wu Wills, Ganesh Dasika:
Optimizing Attention on GPUs by Exploiting GPU Architectural NUMA Effects. - Suyang Li, Fernando Fajardo-Rojas, Diego A. Gómez-Gualdrón, Remco Chang, Mingwei Li:
AlloyLens: A Visual Analytics Tool for High-throughput Alloy Screening and Inverse Design. - Joseph Suh, Suhong Moon, Serina Chang:
Rethinking LLM Human Simulation: When a Graph is What You Need. - Yasaman Torabi, Shahram Shirani, James P. Reilly:
QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals. - Huahua Lin, Xiaohao Cai, Mark Nixon, James M. Mulqueeney, Thomas H. G. Ezard:
From Instance Segmentation to 3D Growth Trajectory Reconstruction in Planktonic Foraminifera. - Zhicheng Wang, Junbiao Pang:
Fast Measuring Pavement Crack Width by Cascading Principal Component Analysis. - Yi Luo, Haochen Zhao, Xiao Liang, Yiwei Liu, Yuye Zhang, Xinyu Li, Jianxin Wang:
Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction. - Tyler M. Paine, Anastasia S. Bizyaeva, Michael R. Benjamin:
Census-Based Population Autonomy For Distributed Robotic Teaming. - Abdullah Almansour, Ozan Tonguz:
CFL: On the Use of Characteristic Function Loss for Domain Alignment in Machine Learning. - Bartlomiej Malkus, Szymon Bobek, Grzegorz J. Nalepa:
ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts. - Eric Zou, Elle Buser, Zichao Wendy Di, Yuanzhe Xi:
A Joint Variational Framework for Multimodal X-ray Ptychography and Fluorescence Reconstruction. - Asrin Efe Yorulmaz, Tamer Basar:
Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games. - Alexander Htet Kyaw, Richa Gupta, Dhruv Shah, Anoop Sinha, Kory Mathewson, Stefanie Pender, Sachin Chitta, Yotto Koga, Faez Ahmed, Lawrence Sass, Randall Davis:
Text to Robotic Assembly of Multi Component Objects using 3D Generative AI and Vision Language Models. - Eric Vin, Kyle A. Miller, Inigo Incer, Sanjit A. Seshia, Daniel J. Fremont:
ScenicProver: A Framework for Compositional Probabilistic Verification of Learning-Enabled Systems. - Tian Hao, Tong Lu, Che Chan:
Kinematic and Ergonomic Design of a Robotic Arm for Precision Laparoscopic Surgery. - Octavian Alexandru Trifan, Karthik Sangaiah, Muhammad Awad, Muhammad Osama, Sumanth Gudaparthi, Alexandru Nicolau, Alexander Veidenbaum, Ganesh Dasika:
Eliminating Multi-GPU Performance Taxes: A Systems Approach to Efficient Distributed LLMs. - Rodrigo Nunes, André Melo, Rafael Albarello, Reinaldo Gomes, Cesar Marcondes, Lourenço Alves Pereira Jr.:
Permissioned Blockchain in Advanced Air Mobility: A Performance Analisys for UTM. - Yuzhuang Pian, Taiyu Wang, Shiqi Zhang, Rui Xu, Yonghong Liu:
Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification. - Fuyi Wang, Fangyuan Sun, Mingyuan Fan, Jianying Zhou, Jin Ma, Chao Chen, Jiangang Shu, Leo Yu Zhang:
FLAME: Flexible and Lightweight Biometric Authentication Scheme in Malicious Environments. - Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan, Joe Lemley, Peter Corcoran:
Autobiasing Event Cameras for Flickering Mitigation. - Yuhan Wang, Qing Xie, Zhifeng Bao, Mengzi Tang, Lin Li, Yongjian Liu:
KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation. - Jinhwan Seo, Yoonki Cho, Junhyug Noh, Sung-Eui Yoon:
Pinpointing Trigger Moment for Grounded Video QA: Enhancing Spatio-temporal Grounding in Multimodal Large Language Models. - Yanfu Qin, Kaihong Lu:
Online Distributed Zeroth-Order Optimization With Non-Zero-Mean Adverse Noises. - Fuyi Wang, Zekai Chen, Mingyuan Fan, Jianying Zhou, Lei Pan, Leo Yu Zhang:
PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks. - Minje Kim, Hongjae Nam, Beomsoo Ko, Hyeongjun Park, Hwanjin Kim, Dong-Hyun Jung, Junil Choi:
Analysis of Beam Misalignment Effect in Inter-Satellite FSO Links. - Linxin Hou, Qirui Wu, Zhihang Qin, Neil Banerjee, Yongxin Guo, Cecilia Laschi:
A Quantitative Comparison of Centralised and Distributed Reinforcement Learning-Based Control for Soft Robotic Arms. - Jiawen Liu, Yuanbo Zeng, Jiaming Liang, Yizhen Yang, Yiheng Zhang, Enhui Cai, Xiaoqi Sheng, Hongmin Cai:
MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation. - Yibo Zhao, Yang Zhao, Hongru Du, Hao (Frank) Yang:
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning. - Liwei Ni, Jiaxi Zhang, Shenggen Zheng, Junfeng Liu, Xingyu Meng, Biwei Xie, Xingquan Li, Huawei Li:
BoolSkeleton: Boolean Network Skeletonization via Homogeneous Pattern Reduction. - Shufan Wang, Xing Hu, Junkai Chen, Zhiyuan Pan, Xin Xia:
Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMs. - Jingbo Wang, Sendong Zhao, Haochun Wang, Yuzheng Fan, Lizhe Zhang, Yan Liu, Ting Liu:
Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration. - Gerhard Yu, Mithila Sivakumar, Alvine B. Belle, Soude Ghari, Song Wang, Timothy C. Lethbridge:
LLMs as Judges: Toward The Automatic Review of GSN-compliant Assurance Cases. - Kevin Valencia, Thilina Balasooriya, Xihaier Luo, Shinjae Yoo, David Keetae Park:
OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning. - Zhengjie Zhang, Xiaoxie Mao, Qihao Guo, Shaoting Zhang, Qi Huang, Mu Zhou, Fang Xie, Mianxin Liu:
Language-Enhanced Generative Modeling for PET Synthesis from MRI and Blood Biomarkers. - Jiajia Li, Keyi Zhu, Qianwen Zhang, Dong Chen, Qi Sun, Zhaojian Li:
Object-Centric 3D Gaussian Splatting for Strawberry Plant Reconstruction and Phenotyping. - Weiwei Sun, Xuhui Zhou, Weihua Du, Xingyao Wang, Sean Welleck, Graham Neubig, Maarten Sap, Yiming Yang:
Training Proactive and Personalized LLM Agents. - Anders Austlid Taskén, Thierry Judge, Erik Andreas Rye Berg, Jinyang Yu, Bjørnar Leangen Grenne, Frank Lindseth, Svend Aakhus, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard, Gabriel Kiss:
Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning. - Morteza Sadeghi, Hadi Keramati, Sajjad Bigham:
A Multi-Fidelity Global Search Framework for Hotspot Prevention in 3D Thermal Design Space. - Kangyu Qiao, Shaolei Zhang, Yang Feng:
IG-Pruning: Input-Guided Block Pruning for Large Language Models. - Matija Bucic, Zhongtian He, Shang-En Huang, Thatchaphol Saranurak:
Disjoint Paths in Expanders in Deterministic Almost-Linear Time via Hypergraph Perfect Matching. - Yiqin Zhao, Tian Guo:
Can Foundation Models Revolutionize Mobile AR Sparse Sensing? - Hyemin Yu, Hong-Chuan Yang:
Adaptive Cooperative Transmission Design for Ultra-Reliable Low-Latency Communications via Deep Reinforcement Learning. - Manonmani Sekar, Nasim Nezamoddini:
Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments. - Changjiang Jiang, Fengchang Yu, Haihua Chen, Wei Lu, Jin Zeng:
TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data. - Fan Feng, Phillip Lippe, Sara Magliacane:
Learning Interactive World Model for Object-Centric Reinforcement Learning. - Delin Ma, Menghui Zhou, Jun Qi, Yun Yang, Po Yang:
Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis. - Hanchen Li, Qiuyang Mang, Runyuan He, Qizheng Zhang, Huanzhi Mao, Xiaokun Chen, Alvin Cheung, Joseph Gonzalez, Ion Stoica:
Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live. - Zhigang Jia, Meiyue Shao, Yanjun Shao:
On Eigenvector Computation and Eigenvalue Reordering for the Non-Hermitian Quaternion Eigenvalue Problem. - Songyang Liu, Yunpeng Tan, Shuai Li:
Learning Spatial Awareness for Laparoscopic Surgery with AI Assisted Visual Feedback. - Jiawei Liu, Enis Berk Çoban, Zarina Schevchenko, Hao Tang, Zhigang Zhu, Michael I. Mandel, Johanna Devaney:
An Evaluation of Interleaved Instruction Tuning on Semantic Reasoning Performance in an Audio MLLM. - Costin-Andrei Oncescu, Qingyang Wu, Wai Tong Chung, Robert Wu, Bryan Gopal, Junxiong Wang, Tri Dao, Ben Athiwaratkun:
Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without Retraining. - Keyu Zhao, Weiquan Lin, Qirui Zheng, Fengli Xu, Yong Li:
Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Network. - Youngjin Hong, Houjian Yu, Mingen Li, Changhyun Choi:
LACY: A Vision-Language Model-based Language-Action Cycle for Self-Improving Robotic Manipulation. - Brennen A. Hill:
Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control. - Zhuoran Zhang, Tengyue Wang, Xilin Gong, Yang Shi, Haotian Wang, Di Wang, Lijie Hu:
When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs. - Hikaru Homma, Jun Ohkubo:
Neural network initialization with nonlinear characteristics and information on spectral bias. - Jonathan Liu, Haoling Qiu, Jonathan Lasko, Damianos G. Karakos, Mahsa Yarmohammadi, Mark Dredze:
Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results. - Hao Li, Daiwei Lu, Jesse F. d'Almeida, Dilara Isik, Ehsan Khodapanah Aghdam, Nick DiSanto, Ayberk Acar, Susheela Sharma, Jie Ying Wu, Robert J. Webster III, Ipek Oguz:
Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency. - Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu:
From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models. - Rida Fatima, Linhan Fang, Xingpeng Li:
A Reliability-Cost Optimization Framework for EV and DER Integration in Standard and Reconfigurable Distribution Network Topologies. - Tan D. Tran, Canh V. Pham:
Fast Approximation Algorithm for Non-Monotone DR-submodular Maximization under Size Constraint. - Limi Tang:
How large is the error effect when summing or averaging nonlinear field normalization citation counts at the paper level? - Genyuan Zhang, Xuyang Duan, Songtao Zhu, Ao Wang, Fenglin Liu:
Wavelet-Optimized Motion Artifact Correction in 3D MRI Using Pre-trained 2D Score Priors. - Oguz Selvitopi, M. Emin Ozturk, Jie Chen, Ponnuswamy Sadayappan, Robert G. Edwards, Aydin Buluç:
Fast Algorithms for Scheduling Many-body Correlation Functions on Accelerators. - Diptajit Roy, Nitin Saxena, Madhavan Venkatesh:
Complexity of counting points on curves and the factor P1(T) of the zeta function of surfaces. - Nicholas Kocurek:
Spectral Certificates and Sum-of-Squares Lower Bounds for Semirandom Hamiltonians. - Takuto Ando, Yu Eto, Ayumu Takeuchi, Yasuhiko Nakashima:
Energy-Efficient Hardware Acceleration of Whisper ASR on a CGLA. - Yucheng Song, Yifan Ge, Junhao Li, Zhining Liao, Zhifang Liao:
Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework. - Ayoub Ghriss:
Probabilistic Graph Cuts. - Muneer Ahmad, M. Sadik Batcha:
Research Output on Alopecia Areata Disease: A Scientometric Analysis of Publications from 2010 to 2019. - Yuheng Zhao, Yu-Hu Yan, Kfir Yehuda Levy, Peng Zhao:
Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness. - Giorgos Sfikas, Konstantina Nikolaidou, Foteini Papadopoulou, George Retsinas, Anastasios L. Kesidis:
Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows? - Fangxun Shu, Yongjie Ye, Yue Liao, Zijian Kang, Weijie Yin, Jiacong Wang, Xiao Liang, Shuicheng Yan, Chao Feng:
SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning. - Nam N. Luong, Chuyen T. Nguyen, Thanh V. Pham:
Performance Analysis of NOMA-Assisted Optical OFDM ISAC Systems with Clipping Distortion. - Haohao Qin, Bowen Gu, Xianhua Yu, Hao Xie, Yongjun Xu, Qihao Li, Liejun Wang:
Revisiting Wireless-Powered MEC: A Cooperative Energy Recycling Framework for Task-Energy Co-Design. - Zhuorui Zhao, Bing Li, Grace Li Zhang, Ulf Schlichtmann:
VFocus: Better Verilog Generation from Large Language Model via Focused Reasoning. - Ziyi Wang, Lijian Jiang:
Reinforcement learning based data assimilation for unknown state model. - Haohao Qin, Bowen Gu, Dong Li, Xianhua Yu, Liejun Wang, Yuanwei Liu, Sumei Sun:
Fairness-Aware Computation Offloading in Wireless-Powered MEC Systems with Cooperative Energy Recycling. - Cuong Tuan Nguyen, Ngoc Tuan Nguyen, Triet Hoang Minh Dao, Nhat Huy Nguyen Minh, Huy Truong Dinh:
Link prediction Graph Neural Networks for structure recognition of Handwritten Mathematical Expressions. - Kwonyeol Park, Gyoseung Lee, Hyeongtaek Lee, Hwanjin Kim, Junil Choi:
Downlink Channel Estimation for mmWave Systems with Impulsive Interference. - Taisuke Noguchi, Takuya Azumi:
3D Point Cloud Object Detection on Edge Devices for Split Computing. - Ruiyong Yuan, Jieji Ren, Zhanxuan Peng, Feifei Chen, Guoying Gu:
SuckTac: Camera-based Tactile Sucker for Unstructured Surface Perception and Interaction. - Auwalu Abdullahi Umar, Muneer Ahmad, M. Sadik Batcha:
Library and Culture: A Scientometric Analysis and Visualization of Research Trends. - Shi-Bing Li, Ke Li, Lei Yu:
Two-Parameter Rényi Information Quantities with Applications to Privacy Amplification and Soft Covering. - Yunzhuo Guo, Cheng Wang, Zhengru Zhang:
Convergence analysis of positivity-preserving finite difference scheme for the Flory-Huggins-Cahn-Hilliard equation with dynamical boundary condition. - Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung:
Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series. - Fengjuan Wang, Zhiyi Su, Xingzhu Hu, Cheng Wang, Mou Sun:
FP8-Flow-MoE: A Casting-Free FP8 Recipe without Double Quantization Error. - Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang:
Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. - Beyazit Yalcinkaya, Marcell Vazquez-Chanlatte, Ameesh Shah, Hanna Krasowski, Sanjit A. Seshia:
Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning. - Aman Sharma, Paras Chopra:
The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute. - Jueye Zhang, Chao Yang, Youfang Lai, Kai-Wen Li, Wenting Yan, Yunzhou Xia, Haimei Zhang, Jingjing Zhou, Gen Yang, Chen Lin, Tian Li, Yibao Zhang:
Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning. - Zifei Wu, Lijie Wang, Zhe Yang, Shijie Yang, Liang Wang, Haoran Fu, Yinliang Cai, Rong Xiong:
ZJUNlict Extended Team Description Paper 2025. - Kwonyeol Park, Hyuckjin Choi, Beomsoo Ko, Minje Kim, Gyoseung Lee, Daecheol Kwon, Hyunjae Park, Byungseung Kim, Min-Ho Shin, Junil Choi:
Anomaly Detection-Based UE-Centric Inter-Cell Interference Suppression. - Ankit Yadav, Ritumoni Sarma:
𝔽q𝔽q2-additive cyclic codes and their Gray images. - Shaohan Li, Yunpeng Shi, Gilad Lerman:
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization. - Tianle Pu, Zijie Geng, Haoyang Liu, Shixuan Liu, Jie Wang, Li Zeng, Chao Chen, Changjun Fan:
RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains. - Kun Zou, Yongheng Xu, Jianxing Yu, Yan Pan, Jian Yin, Hanjiang Lai:
GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection. - Fidan Karimova, Tong Chen, Yu Yang, Shazia Sadiq:
Learning A Universal Crime Predictor with Knowledge-guided Hypernetworks. - Yohan Lee, DongGyun Kang, SeHoon Park, Sa-Yoon Park, Kwangsoo Kim:
Chronic Kidney Disease Prognosis Prediction Using Transformer. - Lin Yang, Jinwoo Lee, Domenico Campolo, H. Jin Kim, Jeonghyun Byun:
Whole-body motion planning and safety-critical control for aerial manipulation. - David Nabergoj, Erik Strumbelj:
Reducing normalizing flow complexity for MCMC preconditioning. - Liuhao Lin, Ke Li, Zihan Xu, Yuchen Shi, Yulei Qin, Yan Zhang, Xing Sun, Rongrong Ji:
LTD-Bench: Evaluating Large Language Models by Letting Them Draw. - Yusaku Nishimiya, Masaya Taniguchi:
Non-commutative linear logic fragments with sub-context-free complexity. - Jiankai Tang, Tao Zhang, Jia Li, Yiru Zhang, Mingyu Zhang, Kegang Wang, Yuming Hao, Bolin Wang, Haiyang Li, Xingyao Wang, Yuanchun Shi, Yuntao Wang, Sichong Qian:
M3PD Dataset: Dual-view Photoplethysmography (PPG) Using Front-and-rear Cameras of Smartphones in Lab and Clinical Settings. - Zhuodi Cai, Ziyu Xu, Juan Pampin:
Human-Machine Ritual: Synergic Performance through Real-Time Motion Recognition. - Sanket Mhatre, Yasharth Bajpai, Sumit Gulwani, Emerson R. Murphy-Hill, Gustavo Soares:
SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering Tasks. - Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu:
Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments. - Xu Liu, Yan Chen, Kan Ling, Yichi Zhu, Hengrun Zhang, Guisheng Fan, Huiqun Yu:
An Automated Framework for Strategy Discovery, Retrieval, and Evolution in LLM Jailbreak Attacks. - Wongyu Kim, Hochang Lee, Sanghak Lee, Yoonsung Kim, Jaehyun Park:
Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation. - Jizheng Ma, Xiaofei Zhou, Yanlong Song, Han Yan:
CoCoVa: Chain of Continuous Vision-Language Thought for Latent Space Reasoning. - Gautier Filardo, Thibaut Heckmann:
Enhancing NTRUEncrypt Security Using Markov Chain Monte Carlo Methods: Theory and Practice. - Yudong Li, Zhongliang Yang, Kejiang Chen, Wenxuan Wang, Tianxin Zhang, Sifang Wan, Kecheng Wang, Haitian Li, Xu Wang, Lefan Cheng, Youdan Yang, Baocheng Chen, Ziyu Liu, Yufei Sun, Liyan Wu, Wenya Wen, Xingchi Gu, Peiru Yang:
LiveSecBench: A Dynamic and Culturally-Relevant AI Safety Benchmark for LLMs in Chinese Context. - Shuning Zhang, Zhaoxin Li, Changxi Wen, Ying Ma, Simin Li, Gengrui Zhang, Ziyi Zhang, Yibo Meng, Hantao Zhao, Xin Yi, Hewu Li:
The Pervasive Blind Spot: Benchmarking VLM Inference Risks on Everyday Personal Videos. - Rushi Moliya, Dhaval K. Patel, Brijesh Soni, Miguel López-Benítez:
Optimizing Multi-UAV 3D Deployment for Energy-Efficient Sensing over Uneven Terrains. - Adnan Hoq, Matthew Facciani, Tim Weninger:
AI Credibility Signals Outrank Institutions and Engagement in Shaping News Perception on Social Media. - Rohan Wandre, Yash Gajewar, Namrata Patel, Vivek Dhalkari:
LUMA-RAG: Lifelong Multimodal Agents with Provably Stable Streaming Alignment. - Mohd Nauman, Sravan Gvm, Vijay Devane, Shyam Pawar, Viraj Thakur, Kundeshwar Pundalik, Piyush Sawarkar, Rohit Saluja, Maunendra Sankar Desarkar, Ganesh Ramakrishnan:
AyurParam: A State-of-the-Art Bilingual Language Model for Ayurveda. - Aashray Reddy, Andrew Zagula, Nicholas Saban, Kevin Zhu:
AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models. - Riccardo Bovo, Daniele Giunchi, Pasquale Cascarano, Eric J. Gonzalez, Mar González-Franco:
Revisiting put-that-there, context aware window interactions via LLMs. - Rohith Shinoj Kumar, Rushdeep Dinda, Aditya Tyagi, Annappa B., M. R. Naveen Kumar:
H-Infinity Filter Enhanced CNN-LSTM for Arrhythmia Detection from Heart Sound Recordings. - Jiahe Song, Chuang Wang, Bowen Jiang, Yinfan Wang, Hao Zheng, Xingjian Wei, Chengjin Liu, Junyuan Gao, Yubin Wang, Lijun Wu, Jiang Wu, Qian Yu, Conghui He:
RxnCaption: Reformulating Reaction Diagram Parsing as Visual Prompt Guided Captioning. - Yuri Nesterenko:
About subspaces the most deviating from the coordinate ones. - Gianluca Giacomelli, Danilo Saccani, Siep Weiland, Giancarlo Ferrari-Trecate, Valentina Breschi:
Constrained Performance Boosting Control for Nonlinear Systems via ADMM. - Muhammad Sheharyar Liaqat:
Fuzzy Soft Set Theory based Expert System for the Risk Assessment in Breast Cancer Patients. - Leon Schwarzer, Matthias Zeller, Daniel Casado Herraez, Simon Dierl, Michael Heidingsfeld, Cyrill Stachniss:
Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds. - Kuo-Liang Chung, Ting-Chung Tang:
A Novel Grouping-Based Hybrid Color Correction Algorithm for Color Point Clouds. - Gennaro Guidone, Luca Monegaglia, Elia Raimondi, Han Wang, Mattia Bianchi, Florian Dörfler:
A Spatially Informed Gaussian Process UCB Method for Decentralized Coverage Control. - Junwei Liu, Chen Xu, Chong Wang, Tong Bai, Weitong Chen, Kaseng Wong, Yiling Lou, Xin Peng:
EvoDev: An Iterative Feature-Driven Framework for End-to-End Software Development with LLM-based Agents. - Arya Shah, Vaibhav Tripathi:
Purrturbed but Stable: Human-Cat Invariant Representations Across CNNs, ViTs and Self-Supervised ViTs. - Takuto Ando, Yusuke Inoue:
Facial Expression Recognition System Using DNN Accelerator with Multi-threading on FPGA. - Wenyang Wei, Yang Yang, Xixi Jia, Xiangchu Feng, Weiwei Wang, Renzhen Wang:
IllumFlow: Illumination-Adaptive Low-Light Enhancement via Conditional Rectified Flow and Retinex Decomposition. - Benjamin Sykes, Loïc Simon, Julien Rabin, Jalal Fadili:
A New Perspective on Precision and Recall for Generative Models. - Duo Xu, Hao Cheng, Xin Lin, Zhen Xie, Hao Wang:
ChartM3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart Comprehension. - Garen Boyadjian, Cyrille Pierre, Johann Laconte, Riccardo Bertoglio:
Synthetic Crop-Weed Image Generation and its Impact on Model Generalization. - Jae-Woo Choi, Hyungmin Kim, Hyobin Ong, Minsu Jang, Dohyung Kim, Jaehong Kim, Youngwoo Yoon:
ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning. - Nicolas Schuler, Lea Dewald, Nick Baldig, Jürgen Graf:
From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile Robotics. - Michelle Bak, Kexin Quan, Tre Tomaszewski, Jessie Chin:
Can Conversational AI Counsel for Change? A Theory-Driven Approach to Supporting Dietary Intentions in Ambivalent Individuals. - Stefan S. Mihai, Florin Stoican, Martin Mönnigmann, Bogdan D. Ciubotaru:
Explicit MPC for the constrained zonotope case with low-rank matrix updates. - Dominik Fuchß, Haoyu Liu, Sophie Corallo, Tobias Hey, Jan Keim, Johannes von Geisau, Anne Koziolek:
Who's Who? LLM-assisted Software Traceability with Architecture Entity Recognition. - Virgile Dine, Teddy Furon, Charly Faure:
Improving Unlearning with Model Updates Probably Aligned with Gradients. - Grigoris Michos, George C. Konstantopoulos:
Decentralized Voltage Control of AC Microgrids with Constant Power Loads using Control Barrier Functions. - Eriks Klotins, Magnus Ahlgren, Nicolás Martín-Vivaldi, Even-André Karlsson:
When Continuous Delivery Is Not an Option: Practical Paths to Continuous Engineering in Complex Organizations. - Kentaro Ueda, François Portet, Hirohiko Suwa, Keiichi Yasumoto:
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance. - Thomas Sanchez, Pedro M. Gordaliza, Meritxell Bach Cuadra:
Accounting for Underspecification in Statistical Claims of Model Superiority. - Shogo Seki, Shaoxiang Dang, Li Li:
Improving DF-Conformer Using Hydra For High-Fidelity Generative Speech Enhancement on Discrete Codec Token. - Yuhan Liu, Varun Nagaraj Rao, Sohyeon Hwang, Janet Vertesi, Andrés Monroy-Hernández:
OpenCourier: an Open Protocol for Building a Decentralized Ecosystem of Community-owned Delivery Platforms. - Giulia Iadisernia, Carolina Camassa:
Prompting for Policy: Forecasting Macroeconomic Scenarios with Synthetic LLM Personas. - Xuan-Truong Quan, Xuan-Son Quan, Duc Do Minh, Vinh Nguyen Van:
SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization. - Teerapong Panboonyuen:
KAO: Kernel-Adaptive Optimization in Diffusion for Satellite Image. - Mengyu Zhang, Xubo Liu, Siyu Ding, Weichong Yin, Yu Sun, Hua Wu, Wenya Guo, Ying Zhang:
Auditable-choice reframing unlocks RL-based verification for open-ended tasks. - Chuhan Jiao, Zhiming Hu, Andreas Bulling:
HAGI++: Head-Assisted Gaze Imputation and Generation. - Taiga Yamane, Satoshi Suzuki, Ryo Masumura, Shotaro Tora:
MVAFormer: RGB-based Multi-View Spatio-Temporal Action Recognition with Transformer. - Jürgen Cito, Dominik Bork:
Lost in Code Generation: Reimagining the Role of Software Models in AI-driven Software Engineering. - Bingyan Xie, Yongpeng Wu, Yuxuan Shi, Biqian Feng, Wenjun Zhang, Jihong Park, Tony Q. S. Quek:
Wireless Video Semantic Communication with Decoupled Diffusion Multi-frame Compensation. - Mohammad Sadegh Eshaghi, Cosmin Anitescu, Navid Valizadeh, Yizheng Wang, Xiaoying Zhuang, Timon Rabczuk:
NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers. - Rodrigo Bernal, Federico Milano:
Generalized Swing Control Framework for Inverter-based Resources. - Xilong Zhou, Jianchun Chen, Pramod Rao, Timo Teufel, Linjie Lyu, Tigran Minasian, Oleksandr Sotnychenko, Xiaoxiao Long, Marc Habermann, Christian Theobalt:
OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control. - Ismail Zrigui, Samira Khoulji, Mohamed Larbi Kerkeb:
Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities. - Ignacio Ponce, Rodrigo Bernal, Federico Milano:
Coherency among Power System Devices. - Weiming Feng, Xiongxin Yang, Yixiao Yu, Yiyao Zhang:
Learning CNF formulas from uniform random solutions in the local lemma regime. - Tao Liu, Kan Ren, Qian Chen:
Object Detection as an Optional Basis: A Graph Matching Network for Cross-View UAV Localization. - Rajan Das Gupta, Md. Kishor Morol, Nafiz Fahad, Md. Tanzib Hosain, Sumaya Binte Zilani Choya, Md. Jakir Hossen:
BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring. - Roland Meyer, Jakob Tepe:
Oriented Metrics for Bottom-Up Enumerative Synthesis. - Raul Murillo, Julio Villalba-Moreno, Alberto A. Del Barrio, Guillermo Botella:
Digit-Recurrence Posit Division. - Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang:
DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding. - Ronald Katende:
Variational Geometric Information Bottleneck: Learning the Shape of Understanding. - Angel Vaca, Federico Milano:
Decentralized Approach to Detect and Eliminate Flapping Phenomena due to Flexible Resources. - Kokila Kasuni Perera, Aneta Neumann:
Evolutionary Algorithm for Chance Constrained Quadratic Multiple Knapsack Problem. - Mohan Liyanage, Eldiyar Zhantileuov, Ali Kadhum Idrees, Rolf Schuster:
Lightweight Latency Prediction Scheme for Edge Applications: A Rational Modelling Approach. - Razvan Gabriel Iagar, David Puertas-Centeno:
Generalized informational functionals and new monotone measures of statistical complexity. - Robinson Umeike, Neil Getty, Xiangyu Yin, Yi Jiang:
Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data Regimes. - Le Chen, Yi Zhao, Jan Schneider, Quankai Gao, Simon Guist, Cheng Qian, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler:
Dexterous Robotic Piano Playing at Scale. - Yaosen Chen, Wei Wang, Tianheng Zheng, Xuming Wen, Han Yang, Yanru Zhang:
ESA: Energy-Based Shot Assembly Optimization for Automatic Video Editing. - Nicolas Schuler, Lea Dewald, Jürgen Graf:
Keeping it Local, Tiny and Real: Automated Report Generation on Edge Computing Devices for Mechatronic-Based Cognitive Systems. - Jee Won Lee, Jongseong Brad Choi:
LiteVoxel: Low-memory Intelligent Thresholding for Efficient Voxel Rasterization. - Obada Kraishan:
Emotional Contagion in Code: How GitHub Emoji Reactions Shape Developer Collaboration. - Guanghui Zhang, Bocong Chen, Liren Lin, Hongwei Liu:
Improved AntiGriesmer Bounds for Linear Anticodes and Applications. - Romy Peled, Daniel Kroening, Michael Tautschnig, Yakir Vizel:
Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? - Changhao Miao, Yuntian Zhang, Tongyu Wu, Fang Deng, Chen Chen:
An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems. - Marc Schneider, Walter Fichter:
Many-vs-Many Missile Guidance via Virtual Targets. - Takuto Ando, Yu Eto, Yasuhiko Nakashima:
Implementation and Evaluation of Stable Diffusion on a General-Purpose CGLA Accelerator. - Munib Mesinovic, Max Buhlan, Tingting Zhu:
Causal Graph Neural Networks for Healthcare. - Jorge Pellejero, Luis A. Hernández Gómez, Luis Mendo Tomás, Zoraida Frías Barroso:
Agentic AI for Mobile Network RAN Management and Optimization. - Hortence Phalonne Nana, Andreas Athanasopoulos, Christos Dimitrakakis:
Rawlsian many-to-one matching with non-linear utility. - Enhong Mu, Jinyu Cai, Yijun Lu, Mingyue Zhang, Kenji Tei, Jialong Li:
Knowledge Graph-enhanced Large Language Model for Incremental Game PlayTesting. - Mathieu Chevalley, Arash Mehrjou, Patrick Schwab:
Theoretical Guarantees for Causal Discovery on Large Random Graphs. - Kenza Khelkhal, Dihia Lanasri:
Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching. - Jessica Plassmann, Nicolas Schuler, Georg von Freymann, Michael Schuth:
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data. - Marco Mattuschka, Daniel Walter, Max von Danwitz, Alexander Popp:
Sparse Source Identification in Transient Advection-Diffusion Problems with a Primal-Dual-Active-Point Strategy. - Michelangelo Bin, Alessandro Cecconi, Lorenzo Marconi:
Reliability entails input-selective contraction and regulation in excitable networks. - Ali Farki, Elaheh Moradi, Deepika Koundal, Jussi Tohka:
Forecasting Future Anatomies: Longitudianl Brain Mri-to-Mri Prediction. - Yao Wang, Kexin Yu, Wenyun Xu, Kaiqiang Hu, Ziyi Wang, Lizhao You, Qiang Su, Dong Guo, Haizhou Du, Wanjian Feng, Qingyu Song, Linghe Kong, Qiao Xiang, Jiwu Shu:
Janus: Leveraging Incremental Computation for Efficient DNS Verification. - Dan Bohus, Sean Andrist, Ann Paradiso, Nick Saw, Tim J. Schoonbeek, Maia Stiber:
SigmaCollab: An Application-Driven Dataset for Physically Situated Collaboration. - Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Kishore, Vishwajeet Pattanaik, Tarun Rambha, Abdul R. Pinjari, Vijay Kovvali, Anirban Chakraborty, Punit Rathore, Raghu Krishnapuram, Yogesh Simmhan:
The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic. - Md. Rashidunnabi, Kailash A. Hambarde, Vasco Lopes, João C. Neves, Hugo Proença:
Seeing Across Time and Views: Multi-Temporal Cross-View Learning for Robust Video Person Re-Identification. - Jingyu Lu, Haonan Wang, Qixiang Zhang, Xiaomeng Li:
A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding. - Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji:
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning. - Lukas Fehring, Marcel Wever, Maximilian Spliethöver, Leona Hennig, Henning Wachsmuth, Marius Lindauer:
Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization. - Tetiana Manzhos, Tetiana Ianevych, Olga Melnyk:
Average Precision at Cutoff k under Random Rankings: Expectation and Variance. - Rui Xu, Yinghui Ye, Xiaoli Chu, Guangyue Lu, Kai-Kit Wong, Chan-Byoung Chae:
Performance Analysis of Single-Antenna Fluid Antenna Systems via Extreme Value Theory. - Bruno Pinheiro, Joe H. Chow, Federico Milano, Daniel Dotta:
Analytical Framework for Assessing Effective Regional Inertia. - Gilad Karpel, Ruida Zhou, Shoham Sabach, Mohammad Ghavamzadeh:
Directional-Clamp PPO. - Daichi Nagai, Ryugo Morita, Shunsuke Kitada, Hitoshi Iyatomi:
TAUE: Training-free Noise Transplant and Cultivation Diffusion Model. - Mark Blümel, Andreas C. Schneider, Valentin Neuhaus, David A. Ehrlich, Marcel Graetz, Michael Wibral, Abdullah Makkeh, Viola Priesemann:
Redundancy Maximization as a Principle of Associative Memory Learning. - Angela Stamatie:
The Analysis of Lexical Errors in Machine Translation from English into Romanian. - Ella Kokinda, D. Matthew Boyer:
The Other Side of the Screen: Motivations to Watch and Engage in Software Development Live Streams. - Claudia Herambourg, Dawid Siuda, Julia Kopczynska, Joao R. L. Santos, Wojciech Sas, Joanna Smietanska-Nowak:
The ORCA Benchmark: Evaluating Real-World Calculation Accuracy in Large Language Models. - Jan Frederik Meier, Timo Lüddecke:
Zero-Shot Multi-Animal Tracking in the Wild. - Rui Zhang, Fuwang Dong, Wei Wang:
ISAC Empowered Air-Sea Collaborative System: A UAV-USV Joint Inspection Framework. - Chitro Majumdar, Sergio Scandizzo, Ratanlal Mahanta, Avradip Mandal, Swarnendu Bhattacharjee:
A Large Language Model for Corporate Credit Scoring. - Bahareh Afshari, Giacomo Barlucchi, Graham E. Leigh:
The Limit of Recursion in State-based Systems. - Rémy Cerda:
Nominal Algebraic-Coalgebraic Data Types, with Applications to Infinitary Lambda-Calculi. - Florian Bruse, David Kronenberger, Martin Lange:
Characterizing the Exponential-Space Hierarchy Via Partial Fixpoints. - Leonardo Pacheco:
The mu-calculus' Alternation Hierarchy is Strict over Non-Trivial Fusion Logics. - Xu Li, Beatrice Meini:
A Block-Shifted Cyclic Reduction Algorithm for Solving a Class of Quadratic Matrix Equations. - Max Norris, Kobi Gal, Sahan Bulathwela:
Next Token Knowledge Tracing: Exploiting Pretrained LLM Representations to Decode Student Behaviour. - Patrick Karlsen, Even Eilertsen:
On The Dangers of Poisoned LLMs In Security Automation. - Dakota Murray, Chaoqun Ni, Weiye Gu, Trevor Hubbard:
Using language models to label clusters of scientific documents. - Ehsan Aghazadeh, Ahmad Ghasemi, Hedyeh Beyhaghi, Hossein Pishro-Nik:
CGES: Confidence-Guided Early Stopping for Efficient and Accurate Self-Consistency. - Tiberiu-Andrei Georgescu, Alexander W. Goodall, Dalal Alrajeh, Francesco Belardinelli, Sebastián Uchitel:
Adaptive GR(1) Specification Repair for Liveness-Preserving Shielding in Reinforcement Learning. - Xiangen Hu, Jiarui Tong, Sheng Xu:
A Multi-Agent Psychological Simulation System for Human Behavior Modeling. - Xu Zhang, Danyang Li, Xiaohang Dong, Tianhao Wu, Hualong Yu, Jianye Wang, Qicheng Li, Xiang Li:
UniChange: Unifying Change Detection with Multimodal Large Language Model. - Nadia Daoudi, Iván Alfonso, Jordi Cabot:
Neural Network Interoperability Across Platforms. - Andrea D'Ascenzo, Julian Meffert, Petra Mutzel, Fabrizio Rossi:
Accelerating Graph Similarity Search through Integer Linear Programming. - Mohammed Al-Jaff, Giovanni Luca Marchetti, Michael C. Welle, Jens Lundell, Mats G. Gustafsson, Gustav Eje Henter, Hossein Azizpour, Danica Kragic:
A Non-Adversarial Approach to Idempotent Generative Modelling. - Bao Tran Truong, Siqi Wu, Alessandro Flammini, Filippo Menczer, Alexander J. Stewart:
Community Notes are Vulnerable to Rater Bias and Manipulation. - Roy Rinberg, Adam Karvonen, Alex Hoover, Daniel Reuter, Keri Warr:
Verifying LLM Inference to Prevent Model Weight Exfiltration. - Aakash Sen Sharma, Debdeep Sanyal, Vivek Srivastava, Shirish Karande, Murari Mandal:
The Realignment Problem: When Right becomes Wrong in LLMs. - Xinliang Liu, Tong Mao, Jinchao Xu:
Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres. - Renfei Dang, Peng Hu, Changjiang Gao, Shujian Huang:
Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis, Solution, and Interpretation. - Lachlan McPheat, Navdeep Kaur, Robert E. Blackwell, Alessandra Russo, Anthony G. Cohn, Pranava Madhyastha:
DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning. - Elena Grigorescu, Vinayak M. Kumar, Peter Manohar, Geoffrey Mon:
Relaxed vs. Full Local Decodability with Few Queries: Equivalence and Separations for Linear Codes. - Jinkun Zhang, Stefan Vlaski, Kin Leung:
Decentralized AI Service Placement, Selection and Routing in Mobile Networks. - David Kattermann, Lothar Sebastian Krapp:
Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning. - Poulami Raha, Yeongnam Chae:
Robust Face Liveness Detection for Biometric Authentication using Single Image. - Tiziano Balaconi, Aldo Glielmo, Marco Taboga:
Natural-gas storage modelling by deep reinforcement learning. - Xiumei Deng, Zehui Xiong, Binbin Chen, Dong In Kim, Mérouane Debbah, H. Vincent Poor:
Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks. - Tianfan Peng, Yuntao Du, Pengzhou Ji, Shijie Dong, Kailin Jiang, Mingchuan Ma, Yijun Tian, Jinhe Bi, Qian Li, Wei Du, Feng Xiao, Lizhen Cui:
Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models. - Oleksiy Ostapenko, Luke Kumar, Raymond Li, Denis Kocetkov, Joel Lamy-Poirier, Shruthan Radhakrishna, Soham Parikh, Shambhavi Mishra, Sébastien Paquet, Srinivas Sunkara, Valérie Bécaert, Sathwik Tejaswi Madhusudhan, Torsten Scholak:
Apriel-H1: Towards Efficient Enterprise Reasoning Models. - Marius Aasan, Martine Hjelkrem-Tan, Nico Catalano, Changkyu Choi, Adín Ramírez Rivera:
Differentiable Hierarchical Visual Tokenization. - Yahya Alnashri:
Error Estimates of Generic Discretisation of Reaction-Diffusion System with Constraints. - Johansell Villalobos, Josef Ruzicka, Silvio Rizzi:
Implementing Multi-GPU Scientific Computing Miniapps Across Performance Portable Frameworks. - Artur Iasenovets, Fei Tang, Huihui Zhu, Ping Wang, Lei Liu:
Bringing Private Reads to Hyperledger Fabric via Private Information Retrieval. - Lihan Xu, Yanjie Dong, Gang Wang, Runhao Zeng, Xiaoyi Fan, Xiping Hu:
Nesterov-Accelerated Robust Federated Learning Over Byzantine Adversaries. - Yaling Kang, Zujun Ma, Xin Tian, Zhiqiao Wu:
Joint transfer pricing decision on tangible and intangible assets for multinational firms. - Cooper Simpson, Stephen Becker, Alireza Doostan:
In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization. - Jean-Marie Mirebeau, Erwan Stampfli:
Discretization and convergence of the ballistic Benamou-Brenier formulation of the porous medium and Burgers equations. - Simone Formentin:
Feedback dynamics in Politics: The interplay between sentiment and engagement. - Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi:
Scalable Evaluation and Neural Models for Compositional Generalization. - Tim Otto:
EasyTUS: A Comprehensive Framework for Fast and Accurate Table Union Search across Data Lakes. - Mohammadsajad Alipour, Mohammad Mohammadi Amiri:
Optimal Singular Damage: Efficient LLM Inference in Low Storage Regimes. - Chao Yuan, Zanwu Liu, Guiwei Zhang, Haoxuan Xu, Yujian Zhao, Guanglin Niu, Bo Li:
Modality-Transition Representation Learning for Visible-Infrared Person Re-Identification. - Tim R. Davidson, Adam Fourney, Saleema Amershi, Robert West, Eric Horvitz, Ece Kamar:
The Collaboration Gap. - Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla:
Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs. - Keith Briggs, Ibrahim Nur:
CRRM: A 5G system-level simulator. - Siqi Zhang, Mayank Goel, Justin Chan:
DropleX: Liquid sensing on tablet touchscreens. - Massimiliano Moda, Karel J. in 't Hout, Michèle Vanmaele, Fred Espen Benth:
Numerical valuation of European options under two-asset infinite-activity exponential Lévy models. - Mengyao Li, Noah Ploch, Sebastian Troia, Carlo Spatocco, Wolfgang Kellerer, Guido Maier:
On the Optimization of Model Aggregation for Federated Learning at the Network Edge. - Chongyang Shi, Sumukha Udupa, Michael R. Dorothy, Shuo Han, Jie Fu:
Policy Gradient Methods for Information-Theoretic Opacity in Markov Decision Processes. - Nate Veldt:
A Simple and Fast (3+ϵ)-approximation for Constrained Correlation Clustering. - Daren Chao, Kaiwen Chen, Naiqing Guan, Nick Koudas:
Relational Deep Dive: Error-Aware Queries Over Unstructured Data. - Zhicheng Zhang, Weicheng Wang, Yongjie Zhu, Wenyu Qin, Pengfei Wan, Di Zhang, Jufeng Yang:
VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models. - Qianru Meng, Zhaochun Ren, Joost Visser:
ReleaseEval: A Benchmark for Evaluating Language Models in Automated Release Note Generation. - Adia Khalid, Alina Deriyeva, Benjamin Paassen:
Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making? - Vojtech Kur, Adam Bajger, Adam Kukucka, Marek Hradil, Vít Musil, Tomás Brázdil:
LLEXICORP: End-user Explainability of Convolutional Neural Networks. - Doreen Osmelak, Koel Dutta Chowdhury, Uliana Sentsova, Cristina España-Bonet, Josef van Genabith:
PragExTra: A Multilingual Corpus of Pragmatic Explicitation in Translation. - Yuexuan Kong, Viet-Anh Tran, Romain Hennequin:
Perceived Femininity in Singing Voice: Analysis and Prediction. - Jiayu Liu, Cheng Qian, Zhaochen Su, Qing Zong, Shijue Huang, Bingxiang He, Yi R. Fung:
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents. - Madalena Sasportes, Grischa Liebel, Miguel Goulão:
Investigating the Experience of Autistic Individuals in Software Engineering. - Ilies Chibane, Thomas George, Pierre Nodet, Vincent Lemaire:
Calibration improves detection of mislabeled examples. - Ilse C. F. Ipsen, Arvind K. Saibaba:
Many (most?) column subset selection criteria are NP hard. - Fedor Ryabinin, Alexey Gotsman, Pierre Sutra:
Making Democracy Work: Fixing and Simplifying Egalitarian Paxos (Extended Version). - Jiaxin Song, Parnian Shahkar, Kate Donahue, Bhaskar Ray Chaudhury:
Human-AI Collaboration with Misaligned Preferences. - Farhad Rezazadeh, Hatim Chergui, Mérouane Debbah, Houbing Song, Dusit Niyato, Lingjia Liu:
Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning. - Paul Castro, Nick Mitchell, Nathan Ordonez, Thomas Parnell, Mudhakar Srivatsa, Antoni Viros-i-Martin:
Using Span Queries to Optimize for Cache and Attention Locality. - Priyanka Majethiya, Shivam Bajpeyi:
Approximation by Certain Complex Nevai Operators : Theory and Applications. - Amit Misra, Syed Waqas Zamir, Wassim Hamidouche, Inbal Becker-Reshef, Juan Lavista Ferres:
AI Diffusion in Low Resource Language Countries. - Bowen Jin, TJ Collins, Donghan Yu, Mert Cemri, Shenao Zhang, Mengyu Li, Jay Tang, Tian Qin, Zhiyang Xu, Jiarui Lu, Guoli Yin, Jiawei Han, Zirui Wang:
Controlling Performance and Budget of a Centralized Multi-agent LLM System with Reinforcement Learning. - Lejs Deen Behric, Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil:
ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models. - Julius Fiedler, Carsten Knoll, Klaus Röbenack:
LLM-Supported Formal Knowledge Representation for Enhancing Control Engineering Content with an Interactive Semantic Layer. - Seth Stewart, Joseph Pawelski, Steve Ward, Andrew J. Petruska:
Non-Contact Manipulation of Induced Magnetic Dipoles. - Xun Wang, Zhuoran Li, Yanshan Lin, Hai Zhong, Longbo Huang:
From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos. - Saeed Razavikia, José Mairton Barros Da Silva Júnior, Carlo Fischione:
VecComp: Vector Computing via MIMO Digital Over-the-Air Computation. - Tyler Zhu, Tengda Han, Leonidas J. Guibas, Viorica Patraucean, Maks Ovsjanikov:
Dynamic Reflections: Probing Video Representations with Text Alignment. - Bum Chul Kwon, Ben Shapira, Moshiko Raboh, Shreyans Sethi, Shruti Murarka, Joseph A. Morrone, Jianying Hu, Parthasarathy Suryanarayanan:
STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation. - Hung-Ting Chen, Xiang Liu, Shauli Ravfogel, Eunsol Choi:
Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval. - Xinghan Li, Haodong Wen, Kaifeng Lyu:
Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold. - Shichao Fan, Kun Wu, Zhengping Che, Xinhua Wang, Di Wu, Fei Liao, Ning Liu, Yixue Zhang, Zhen Zhao, Zhiyuan Xu, Meng Li, Qingjie Liu, Shanghang Zhang, Min Wan, Jian Tang:
XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations. - Antonio Oroz, Matthias Nießner, Tobias Kirschstein:
PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing. - Kevin Qinghong Lin, Yuhao Zheng, Hangyu Ran, Dantong Zhu, Dongxing Mao, Linjie Li, Philip Torr, Alex Jinpeng Wang:
VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation. - Yiyang Zhou, Haoqin Tu, Zijun Wang, Zeyu Wang, Niklas Muennighoff, Fan Nie, Yejin Choi, James Zou, Chaorui Deng, Shen Yan, Haoqi Fan, Cihang Xie, Huaxiu Yao, Qinghao Ye:
When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought. - Vivi Andersson, Sofia Bobadilla, Harald Hobbelhagen, Martin Monperrus:
PoCo: Agentic Proof-of-Concept Exploit Generation for Smart Contracts. - Amit Misra, Jane Wang, Scott McCullers, Kevin White, Juan Lavista Ferres:
Measuring AI Diffusion: A Population-Normalized Metric for Tracking Global AI Usage. - Arbaz Khan, Felipe Lepe, David Mora, Ricardo Ruiz-Baier, Jesus Vellojin:
Finite element analysis for a Herrmann pressure formulation of the elastoacoustic problem with variable coefficients. - Andras Ferenczi, Sutapa Samanta, Dagen Wang, Todd Hodges:
Enhancing Federated Learning Privacy with QUBO. - Nusrat Tasnim, Kutub Uddin, Khalid Mahmood Malik:
AI-Generated Image Detection: An Empirical Study and Future Research Directions. - Chenyu Zhang, Minsol Kim, Shohreh Ghorbani, Jingyao Wu, Rosalind W. Picard, Patricia Maes, Paul Pu Liang:
When One Modality Sabotages the Others: A Diagnostic Lens on Multimodal Reasoning. - Mayank Jobanputra, Nils Philipp Walter, Maitrey Mehta, Blerta Veseli, Evan Parker Kelly Chapple, Yifan Wang, Sneha Chetani, Ellie Pavlick, Antonio Vergari, Vera Demberg:
Can LLMs subtract numbers? - Nícolas Riccieri Gardin Assumpçáo, Leandro Villas:
Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning. - Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Utsav Avaiya, Vinay Kumar Sankarapu:
TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models. - Ismail Cosandal, Sennur Ulukus:
Optimal Source Coding of Markov Chains for Real-Time Remote Estimation. - Qianhao Yuan, Jie Lou, Zichao Li, Jiawei Chen, Yaojie Lu, Hongyu Lin, Le Sun, Debing Zhang, Xianpei Han:
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning. - You-Jin Kim, Misha Sra, Tobias Höllerer:
Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater. - Suddhasvatta Das, Kevin Gary:
Formalizing Regression Testing for Agile and Continuous Integration Environments. - Gustavo Terra Bastos, Angelynn Álvarez, Cameron Williams:
A Construction of Infinite Families of Self-Orthogonal Quasi-Cyclic Codes Using Constituent Codes.pdf. - Morgan Allen, Paul Savala:
Assessing win strength in MLB win prediction models. - Amanda Bertsch, Adithya Pratapa, Teruko Mitamura, Graham Neubig, Matthew R. Gormley:
Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities. - Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu:
Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning. - Sami Aljhani:
A computationally efficient fractional predictor corrector approach involving the Mittag Leffler kernel. - Chloe Loughridge, Paul Colognese, Avery Griffin, Tyler Tracy, Jonathan Kutasov, Joe Benton:
Optimizing AI Agent Attacks With Synthetic Data. - Ludovico Mitchener, Angela Yiu, Benjamin Chang, Mathieu Bourdenx, Tyler Nadolski, Arvis Sulovari, Eric C. Landsness, Daniel L. Barabasi, Siddharth Narayanan, Nicky Evans, Shriya Reddy, Martha Foiani, Aizad Kamal, Leah P. Shriver, Fang Cao, Asmamaw T. Wassie, Jon M. Laurent, Edwin Melville-Green, Mayk Caldas Ramos, Albert Bou, Kaleigh F. Roberts, Sladjana Zagorac, Timothy C. Orr, Miranda E. Orr, Kevin J. Zwezdaryk, Ali Essa Ghareeb, Laurie McCoy, Bruna Gomes, Euan A. Ashley, Karen E. Duff, Tonio Buonassisi, Tom Rainforth, Randall J. Bateman, Michael D. Skarlinski, Samuel G. Rodriques, Michaela M. Hinks, Andrew D. White:
Kosmos: An AI Scientist for Autonomous Discovery. - Artur d'Avila Garcez, Simon Odense:
Neurosymbolic Deep Learning Semantics. - Harshith Padigela, Shima Nofallah, Atchuth Naveen Chilaparasetti, Ryun Han, Andrew Walker, Judy Shen, Chintan Shah, Blake Martin, Aashish Sood, Elliot Miller, Ben Glass, Andy Beck, Harsha Pokkalla, Syed Ashar Javed:
PLUTO-4: Frontier Pathology Foundation Models. - Mohamed Almukhtar, Anwar Ghammam, Marouane Kessentini, Ming Hua:
From Code Changes to Quality Gains: An Empirical Study in Python ML Systems with PyQu. - Dmitrii Pozdeev, Alexey Artemov, Ananta R. Bhattarai, Artem Sevastopolsky:
Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks. - Hakob Tamazyan, Ani Vanyan, Alvard Barseghyan, Anna Khosrovyan, Evan Shelhamer, Hrant Khachatrian:
GeoCrossBench: Cross-Band Generalization for Remote Sensing. - Yanjie Ze, Siheng Zhao, Weizhuo Wang, Angjoo Kanazawa, Rocky Duan, Pieter Abbeel, Guanya Shi, Jiajun Wu, C. Karen Liu:
TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System. - Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Sham M. Kakade, Surbhi Goel:
In Good GRACEs: Principled Teacher Selection for Knowledge Distillation. - Huawei Lin, Yunzhi Shi, Tong Geng, Weijie Zhao, Wei Wang, Ravender Pal Singh:
Agent-Omni: Test-Time Multimodal Reasoning via Model Coordination for Understanding Anything. - Hector E. Mozo:
Quantum-Classical Hybrid Encryption Framework Based on Simulated BB84 and AES-256: Design and Experimental Evaluation. - Sotirios Konstantakos, Sotirios Asparagkathos, Moatasim Mahmoud, Stamatia Rizou, Enrico Quagliarini, Gabriele Bernardini:
An extended reality-based framework for user risk training in urban built environment. - Goran Bubas:
How ChatGPT and Gemini View the Elements of Communication Competence of Large Language Models: A Pilot Study. - Antonio Verdone, Aidan Cardall, Fardeen Siddiqui, Motaz Nashawaty, Danielle Rigau, Youngjoon Kwon, Mira Yousef, Shalin Patel, Alex Kieturakis, Eric Kim, Laura Heacock, Beatriu Reig, Yiqiu Shen:
Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting. - Saizo Aoyagi:
Interview Survey on Attractivenesses of Place Re-creation Toward Developing a Virtual Twin Design Theory. - Sandro Rodriguez Garzon, Awid Vaziry, Enis Mert Kuzu, Dennis Enrique Gehrmann, Buse Varkan, Alexander Gaballa, Axel Küpper:
AI Agents with Decentralized Identifiers and Verifiable Credentials. - Jiawei Zheng, Gokcen Yilmaz, Ji Han, Saeema Ahmed-Kristensen:
Digital Transformation Chatbot (DTchatbot): Integrating Large Language Model-based Chatbot in Acquiring Digital Transformation Needs. - Umar Farooq, Krishna Upadhyay:
Teaching Quantum Computing through Lab-Integrated Learning: Bridging Conceptual and Computational Understanding. - Yixiang Chen, Tianshi Zheng, Shijue Huang, Zhitao He, Yi R. Fung:
SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation. - Monu Sharma:
Workday's Approach to Secure and Compliant Cloud ERP Systems. - Bianca Leech, Ridewaan Hanslo:
The Evolution of Agile and Hybrid Project Management Methodologies: A Systematic Literature Review. - Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, Adam Zsolt Wagner:
Mathematical exploration and discovery at scale. - Ahmad Tahmasivand, Noureldin Zahran, Saba Al-Sayouri, Mohammed E. Fouda, Khaled N. Khasawneh:
LM-Fix: Lightweight Bit-Flip Detection and Rapid Recovery Framework for Language Models. - Muhammad Zeeshan Haider, M. U. Ghouri, Tayyaba Noreen, M. Salman:
Proof-of-Spiking-Neurons(PoSN): Neuromorphic Consensus for Next-Generation Blockchains. - Amirreza Esmaeili, Fahd Seddik, Yongyi Ji, Fatemeh H. Fard, Fuxiang Chen:
Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models. - Jiedong Jiang, Wanyi He, Yuefeng Wang, Guoxiong Gao, Yongle Hu, Jingting Wang, Nailing Guan, Peihao Wu, Chunbo Dai, Liang Xiao, Bin Dong:
FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels. - Jannatul Shefa, Taylan G. Topcu:
An Analysis of Early-Stage Functional Safety Analysis Methods and Their Integration into Model-Based Systems Engineering. - R. Yamamoto Ravenor:
Academics and Generative AI: Empirical and Epistemic Indicators of Policy-Practice Voids. - Anjali Chouhan, Sruti Srinivasa Ragavan, Amey Karkare:
CS Educator challenges and their solutions : A systematic mapping study. - S. K. Laha:
A Novel Reservoir Computing Framework for Chaotic Time Series Prediction Using Time Delay Embedding and Random Fourier Features. - Junhyung Park, Hyungjin Kim, Seokho Ahn, Young-Duk Seo:
Stochastic Deep Graph Clustering for Practical Group Formation. - Gwendal Jouneaux, Jordi Cabot:
AgentSLA : Towards a Service Level Agreement for AI Agents. - Ronan Killian McGovern:
Test-time Adaptation of Tiny Recursive Models. - Chaitanya Rele, Aditya Rathod, Kaustubh Natu, Saurabh Kulkarni, Ajay Koli, Swapnali Makdey:
Predicting Weekly Fishing Concentration Zones through Deep Learning Integration of Heterogeneous Environmental Spatial Datasets. - Lingyu Zhao, Yuankai He:
A Survey of Driver Distraction and Inattention in Popular Commercial Software-Defined Vehicles. - W. K. Malithi Mithsara, Ning Yang, Ahmed Imteaj, Hussein Zangoti, Abdur Rahman Bin Shahid:
Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language Models. - Gian Maria Campedelli:
A Criminology of Machines. - Clyde Meli, Vitezslav Nezval, Zuzana Komínková Oplatková, Victor Buttigieg, Anthony Spiteri Staines:
Performance Evaluation of Bitstring Representations in a Linear Genetic Programming Framework. - Roberto Garrone:
Designing Proportionate Cybersecurity Frameworks for European Micro-Enterprises: Lessons from the Squad 2025 Case. - Shuhang Lin, Zhencan Peng, Lingyao Li, Xiao Lin, Xi Zhu, Yongfeng Zhang:
Cache Mechanism for Agent RAG Systems. - Begoña Cano, Angel Durán, Melquíades Rodríguez:
Long-term behaviour of symmetric partitioned linear multistep methods II. Invariants error analysis for some nonlinear dispersive wave models. - Yunhan Qiao, Christopher D. Hundhausen, Summit Haque, Md. Istiak Hossain Shihab:
Comprehension-Performance Gap in GenAI-Assisted Brownfield Programming: A Replication and Extension. - Ivan Zvonkov, Gabriel Tseng, Inbal Becker-Reshef, Hannah Kerner:
Cropland Mapping using Geospatial Embeddings. - Haranath Rakshit, Rajkumar Bhandari, Subhasis Banerjee:
Lightweight Session-Key Rekeying Framework for Secure IoT-Edge Communication. - Rafael Baez, Alejandro Olivas, Nathan K. Diamond, Marcelo F. Frias, Yannic Noller, Saeid Tizpaz-Niari:
Risk Estimation in Differential Fuzzing via Extreme Value Theory. - Saumya Sinha, Alexandre Cortiella, Rawad El Kontar, Andrew Glaws, Ryan N. King, Patrick Emami:
A Conditional Diffusion Model for Building Energy Modeling Workflows. - Aline Blankertz, Brianna Rock, Nicholas Shaxson:
Google's Hidden Empire. - Andy Dimnaku, Abdullah Yusuf Kavranoglu, Yaser Abu-Mostafa:
Generative Hints. - Neil P. Byers, Ali Zaidi, Valerie Skye, Chris Beecroft, Kjiersten Fagnan:
Zero-shot data citation function classification using transformer-based large language models (LLMs). - Mirco Felske, Jannik Redenius, Georg Happich, Julius Schöning:
Toward an Agricultural Operational Design Domain: A Framework. - Henry L. Fleischmann, George Z. Li, Jason Li:
Faster Weak Expander Decompositions and Approximate Max Flow. - Fengxu Li, Stephanie Marita Carpenter, Matthew P. Buman, Yonatan Mintz:
Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics. - Srikumar Sastry, Subash Khanal, Aayush Dhakal, Jiayu Lin, Dan Cher, Phoenix Jarosz, Nathan Jacobs:
ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology. - Zhendong Wang, Chenyang Meng, Jun Yang, Jiayuan Wang, Yin Li, Linshan Jiang, Jin Zhang:
NF-SecRIS: RIS-Assisted Near-Field Physical Layer Security via Secure Location Modulation. - Rohith Vaidyanathan, Srinath Srinivasa, Praseeda, Dev Shinde:
Ownership and Flow Primitives for Scalable Consent Management in Digital Public Infrastructures. - Sheida Rabeti, Hessam Mahdavifar:
List Decoding and New Bicycle Code Constructions for Quantum LDPC Codes. - Zhenzhou Qi, Yuncheng Yao, Yiming Li, Chung-Hsuan Tung, Junyao Zheng, Danyang Zhuo, Tingjun Chen:
DecodeX: Exploring and Benchmarking of LDPC Decoding across CPU, GPU, and ASIC Platforms. - Sadiq Layi Macaulay, Nimet Kaygusuz, Simon Hadfield:
EvtSlowTV - A Large and Diverse Dataset for Event-Based Depth Estimation. - Ivor van der Hoog, Eva Rotenberg, Daniel Rutschmann:
Tight Better-Than-Worst-Case Bounds for Element Distinctness and Set Intersection. - Mohsin Mahmud Topu, Mahfuz Ahmed Anik, Azmine Toushik Wasi, Md. Manjurul Ahsan:
Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks. - Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sánchez-Martínez:
Automatic Machine Translation Detection Using a Surrogate Multilingual Translation Model. - Karl A. Kalina, Jörg Brummund, Markus Kästner:
A physics-augmented neural network framework for finite strain incompressible viscoelasticity. - Sarita de Berg, Jacobus Conradi, Ivor van der Hoog, Eva Rotenberg:
The Contiguous Art Gallery Problem is in Θ(n log n). - Ezequiel S. Santos, Gabriel F. Barros, Amanda C. N. Oliveira, Rômulo M. Silva, Rodolfo S. M. Freitas, Dakshina M. Valiveti, Xiao-Hui Wu, Fernando A. Rochinha, Alvaro L. G. A. Coutinho:
Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media. - Victor-Alexandru Padurean, Parameswaran Kamalaruban, Nachiket Kotalwar, Alkis Gotovos, Adish Singla:
Inference-Time Personalized Alignment with a Few User Preference Queries. - Stergios Plataniotis, Charilaos Akasiadis, Georgios Chalkiadakis:
Value of Information-Enhanced Exploration in Bootstrapped DQN. - Esther Sun, Zichu Wu:
Systematizing LLM Persona Design: A Four-Quadrant Technical Taxonomy for AI Companion Applications. - Mikhael Djajapermana, Moritz Reiber, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification. - Yixuan Gao, Tanvir Ahmed, Zekun Chang, Thijs Roumen, Rajalakshmi Nandakumar:
PrivyWave: Privacy-Aware Wireless Sensing of Heartbeat. - Syed Mostaquim Ali, Taufiq Rahman, Ghazal Farhani, Mohamed H. Zaki, Benoit Anctil, Dominique Charlebois:
Comprehensive Assessment of LiDAR Evaluation Metrics: A Comparative Study Using Simulated and Real Data. - Ailar Mahdizadeh, Puria Azadi Moghadam, Xiangteng He, Shahriar Mirabbasi, Panos Nasiopoulos, Leonid Sigal:
SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge Semantics. - Jonathan Kutasov, Chloe Loughridge, Yuqi Sun, Henry Sleight, Buck Shlegeris, Tyler Tracy, Joe Benton:
Evaluating Control Protocols for Untrusted AI Agents. - Gyeom Hwangbo, Hyungjoo Chae, Minseok Kang, Hyeonjong Ju, Soohyun Oh, Jinyoung Yeo:
LEGO-Eval: Towards Fine-Grained Evaluation on Synthesizing 3D Embodied Environments with Tool Augmentation. - Johannes Köhler, Carlo Scholz, Melanie N. Zeilinger:
Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals. - Dakota Hester, Vitor S. Martins, Lucas B. Ferreira, Thainara M. A. Lima:
Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning. - Hee-Jin Lee, Zhen Guo, Luchao Jin, Morteza Moazami Goudarzi:
Targeted Error Correction in Knowledge Distillation: Small Language Models Surpass GPT. - Lucas Castro, Thailsson Clementino, Rosiane de Freitas:
Implementation and Brief Experimental Analysis of the Duan et al. (2025) Algorithm for Single-Source Shortest Paths. - Hongrui Chen, Liwei Wang, Levent Burak Kara:
Heterogeneous Metamaterials Design via Multiscale Neural Implicit Representation. - Minh Sao Khue Luu, Bair Tuchinov:
A Foundation Model for Brain MRI with Dynamic Modality Integration. - Ole Petersen, Marcel Kollovieh, Marten Lienen, Stephan Günnemann:
Discrete Bayesian Sample Inference for Graph Generation. - Iffat Gheyas, Muhammad Rizwan Asghar, Steve Schneider, Alan Woodward:
Establishing Trust in Crowdsourced Data. - Kaustav Chatterjee, Sameer Nekkalapu, Antos Cheeramban Varghese, Marcelo Elizondo, Quan Nguyen, Xiaoyuan Fan:
Oscillation Analysis and Damping Control for a Proposed North American AC-DC Macrogrid. - Wenbo Lu:
SLIP: Structural-aware Language-Image Pretraining for Vision-Language Alignment. - Fatimo Adenike Adeniya:
Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods. - Lingqing Shen, Chi Heem Wong, Misaki Mito, Arnab Chakrabarti:
Adaptive-Sensorless Monitoring of Shipping Containers. - Sina Montazeri, Yunhe Feng, Kewei Sha:
PublicAgent: Multi-Agent Design Principles From an LLM-Based Open Data Analysis Framework. - Logan Murphy, Torin Viger, Alessio Di Sandro, Aren A. Babikian, Marsha Chechik:
Assurance Case Development for Evolving Software Product Lines: A Formal Approach. - Kajol Kulkarni, Samuel Kemmler, Anna Schwarz, Gulcin Gedik, Yanxiang Chen, Dimitrios Papageorgiou, Ioannis Kavroulakis, Roman Iakymchuk:
Harvesting energy consumption on European HPC systems: Sharing Experience from the CEEC project. - James C. Bowden, Sergey Levine, Jennifer Listgarten:
Leveraging Discrete Function Decomposability for Scientific Design. - Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova:
Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis. - Yiming Zheng, Haoran Qi, Lirui Yu, Zhan Shu, Qing Zhao:
Distributed Incast Detection in Data Center Networks. - Apsara Adhikari, Charlotte Wertz, Anamika Dubey, Arslan Ahmad, Ian Dobson:
Quantifying Power Systems Resilience Using Statistical Analysis and Bayesian Learning. - Emi Soroka, Artem Arzyn:
Data-Efficient Realized Volatility Forecasting with Vision Transformers. - Emi Soroka, Tanmay Chopra, Krish Desai, Sanjay Lall:
Unsupervised Evaluation of Multi-Turn Objective-Driven Interactions. - Anthony Hevia, Sanjana Shivani Chintalapati, Veronica Ka Wai Lai, Thanh Tam Nguyen, Wai-Tat Wong, Terry Klassen, Lucy Lu Wang:
ROBoto2: An Interactive System and Dataset for LLM-assisted Clinical Trial Risk of Bias Assessment. - Tao Zhang, Kehui Yao, Luyi Ma, Jiao Chen, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
No-Human in the Loop: Agentic Evaluation at Scale for Recommendation. - Ziyang Xu, Olaf Wysocki, Christoph Holst:
From Propagation to Prediction: Point-level Uncertainty Evaluation of MLS Point Clouds under Limited Ground Truth. - James Nguyen, Oleg Presnyakov, Adityakrishnan Radhakhrishnan:
Read Between the Hyperplanes: On Spectral Projection and Sampling Approaches to Randomized Kaczmarz. - Victoria Ebert, Rishabh Singh, Tuochao Chen, Noah A. Smith, Shyamnath Gollakota:
Reading Between the Lines: The One-Sided Conversation Problem. - Joan Vendrell Gallart, Russell Bent, Solmaz S. Kia:
Microgrids optimal radial reconfiguration via FORWARD algorithm. - Riccardo Di Sipio, Jairo Diaz Rodriguez, Luis Serrano:
The Curved Spacetime of Transformer Architectures. - Margarita Geleta, Daniel Mas Montserrat, Alexander G. Ioannidis:
A Tsallis-Entropy Lens on Genetic Variation. - Martin Carrasco, Olga Zaghen, Erik J. Bekkers, Bastian Rieck:
Homomorphism distortion: A metric to distinguish them all and in the latent space bind them. - Drago Plecko, Patrik Okanovic, Torsten Hoefler, Elias Bareinboim:
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge. - Fatemeh Ghaffari, Siddarth Sitaraman, Xutong Liu, Xuchuang Wang, Mohammad Hajiesmaili:
Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach. - Markus Buchholz, Ignacio Carlucho, Yvan R. Petillot:
A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater Robotics. - Rooholla Khorrambakht, Joaquim Ortiz de Haro, Joseph Amigo, Omar Mostafa, Daniel Dugas, Franziska Meier, Ludovic Righetti:
WorldPlanner: Monte Carlo Tree Search and MPC with Action-Conditioned Visual World Models. - Rohan Kota, Kaival Shah, J. Edward Colgate, Gregory Reardon:
3D Cal: An Open-Source Software Library for Calibrating Tactile Sensors. - Changhong Li, Biswajit Basu, Shreejith Shanker:
LogicSparse: Enabling Engine-Free Unstructured Sparsity for Quantised Deep-learning Accelerators. - Michel Wong, Ali Alshehri, Sophia Kao, Haotian He:
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech. - Pragya Sharma, Amanda Xiang, Abbas Kiani, John Kaippallimalil, Tony Saboorian, Haining Wang:
CRSF: Enabling QoS-Aware Beyond-Connectivity Service Sharing in 6G Local Networks. - Amey Bhangale, Mark Braverman, Subhash Khot, Yang P. Liu, Dor Minzer, Kunal Mittal:
An Analytical Approach to Parallel Repetition via CSP Inverse Theorems. - Gowtham Premananth, Carol Y. Espy-Wilson:
A Computational Approach to Analyzing Disrupted Language in Schizophrenia: Integrating Surprisal and Coherence Measures. - Jonathan Li, Nasim Farahini, Evgenii Iuliugin, Magnus Vesterlund, Christian Häggström, Guangtao Wang, Shubhangi Upasani, Ayush Sachdeva, Rui Li, Faline Fu, Chen Wu, Ayesha Siddiqua, John Long, Tuowen Zhao, Matheen Musaddiq, Håkan Zeffer, Yun Du, Mingran Wang, Qinghua Li, Bo Li, Urmish Thakker, Raghu Prabhakar:
SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators. - Yi Gong, Xinyuan Zhang, Jichen Chai, Yichen Ding, Yifei Lou:
A Plug-and-Play Framework for Volumetric Light-Sheet Image Reconstruction. - Longling Geng, Edward Y. Chang:
ALAS: Transactional and Dynamic Multi-Agent LLM Planning. - Gaia Grosso, Sai Sumedh R. Hindupur, Thomas Fel, Samuel Bright-Thonney, Philip C. Harris, Demba E. Ba:
Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies. - Miftahur Rahman, Samuel Adebayo, Dorian A. Acevedo-Mejia, David Hester, Daniel McPolin, Karen Rafferty, Debra F. Laefer:
ISC-Perception: A Hybrid Computer Vision Dataset for Object Detection in Novel Steel Assembly. - Yiyi Miao, Taoyu Wu, Tong Chen, Sihao Li, Ji Jiang, Youpeng Yang, Angelos Stefanidis, Limin Yu, Jionglong Su:
DentalSplat: Dental Occlusion Novel View Synthesis from Sparse Intra-Oral Photographs. - Hao Xiang Li, Michael Amir, Amanda Prorok:
Scaling Multi-Agent Environment Co-Design with Diffusion Models. - Saad Mankarious, Ayah Zirikly:
CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for Arabic. - Rafael José Moura, Maria Gizele Nascimento, Fumio Machida, Ermeson C. Andrade:
Adaptive Detection of Software Aging under Workload Shift. - Katherine C. Kellogg, Bingyang Ye, Yifan Hu, Guergana K. Savova, Byron Wallace, Danielle S. Bitterman:
Large language models require a new form of oversight: capability-based monitoring. - Md Sakhawat Hossen, Md. Zashid Iqbal Borshon, A. S. M. Badrudduza:
An Efficient Classification Model for Cyber Text. - Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh:
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward. - Abraham Khan, Chao Chen, Vishwas Rao, Arvind K. Saibaba:
Parametric Hierarchical Matrix Approximations to Kernel Matrices. - Daniel Wang, Evan Markou, Dylan Campbell:
Towards Scalable Backpropagation-Free Gradient Estimation. - Justin Swain, Giordano Tierra:
Efficient linear schemes for a penalized ternary Cahn-Hilliard system. - Jiameng Chen, Yida Xiong, Kun Li, Hongzhi Zhang, Xiantao Cai, Wenbin Hu, Jia Wu:
FP-AbDiff: Improving Score-based Antibody Design by Capturing Nonequilibrium Dynamics through the Underlying Fokker-Planck Equation. - Qi Zhang, Yifei Wang, Yisen Wang:
An Augmentation Overlap Theory of Contrastive Learning. - Moinak Ghoshal, Imran Khan, Phuc Dinh, Z. Jonny Kong, Omar Basit, Sizhe Wang, Yufei Feng, Y. Charlie Hu, Dimitrios Koutsonikolas:
Handover Configurations in Operational 5G Networks: Diversity, Evolution, and Impact on Performance. - Yibo Meng, Ruiqi Chen, Xin Chen, Zhiming Liu, Yan Guan:
Tracing Generative AI in Digital Art: A Longitudinal Study of Chinese Painters' Attitudes, Practices, and Identity Negotiation. - Seyed Mohamad Ali Tousi, Guilherme N. DeSouza:
QAGT-MLP: An Attention-Based Graph Transformer for Small and Large-Scale Quantum Error Mitigation. - Botong Zhao, Xubin Wang, Shujing Lyu, Yue Lu:
Image-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning. - Yuya Miyaoka, Masaki Inoue:
Control Barrier Function for Aligning Large Language Models. - Hongbo Lan, Zhenlin An, Haoyu Li, Vaibhav Singh, Longfei Shangguan:
Accelerating Physical Property Reasoning for Augmented Visual Cognition. - Najrin Sultana, Md. Rafi Ur Rashid, Kang Gu, Shagufta Mehnaz:
From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation. - Zeda Xu, Nikolas Martelaro, Christopher McComb:
Ceci N'est Pas un Drone: Investigating the Impact of Design Representation on Design Decision Making When Using GenAI. - Thomas Manzini, Priyankari Perali, Robin R. Murphy:
Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response. - Kexing Ji, Shiyun Fu, Cuiyun Gao, Yujia Chen, Zezhou Yang, Chaozheng Wang, Yuetang Deng:
Automated Prompt Generation for Code Intelligence: An Empirical study and Experience in WeChat. - Shipeng Cen, Ying Tan:
Using Multi-modal Large Language Model to Boost Fireworks Algorithm's Ability in Settling Challenging Optimization Tasks. - Qi Li, Jianjun Xu, Pingtao Wei, Jiu Li, Peiqiang Zhao, Jiwei Shi, Xuan Zhang, Yanhui Yang, Xiaodong Hui, Peng Xu, Wenqin Shao:
DeepKnown-Guard: A Proprietary Model-Based Safety Response Framework for AI Agents. - Rohit Satish Patil, Zhilin Han, Sofia G. Mogilevskaya:
The isogeometric boundary element algorithm for solving the plane strain problem of an elastic matrix containing an open material surface of arbitrary shape. - Erfan Shayegani, Jina Suh, Andy Wilson, Nagu Rangan, Javier Hernandez:
From Measurement to Expertise: Empathetic Expert Adapters for Context-Based Empathy in Conversational AI Agents. - Kaiyuan Zhang, Chenghao Yang, Zhoufutu Wen, Sihang Yuan, Qiuyue Wang, Chaoyi Huang, Guosheng Zhu, He Wang, Huawenyu Lu, Jianing Wen, Jianpeng Jiao, Lishu Luo, Longxiang Liu, Sijin Wu, Xiaolei Zhu, Xuanliang Zhang, Ge Zhang, Yi Lin, Guang Shi, Chaoyou Fu, Wenhao Huang:
MME-CC: A Challenging Multi-Modal Evaluation Benchmark of Cognitive Capacity. - Haotian Yin, Przemyslaw Musialski:
Scheduling the Off-Diagonal Weingarten Loss of Neural SDFs for CAD Models. - Paria Mehrbod, Pedro Vianna, Géraldin Nanfack, Guy Wolf, Eugene Belilovsky:
Test Time Adaptation Using Adaptive Quantile Recalibration. - Atif Hassan, Tarun Kumar, Ashish Mishra, Sergey Serebryakov, Satish Kumar Mopur, Phanidhar Koganti, Murthy Chelankuri, Ramanagopal V. Vogety, Suparna Bhattacharya, Martin Foltin:
Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction. - Srishti Yadav, Jasmina Gajcin, Erik Miehling, Elizabeth Daly:
Who Sees the Risk? Stakeholder Conflicts and Explanatory Policies in LLM-based Risk Assessment. - Khouloud Oueslati, Maxime Lamothe, Foutse Khomh:
RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring. - Zhefan Wang, Guokai Yan, Jinbei Yu, Siyu Gu, Jingyan Chen, Peng Jiang, Zhiqiang Guo, Min Zhang:
Generative Sequential Recommendation via Hierarchical Behavior Modeling. - Sagar Shrestha, Gopal Sharma, Luowei Zhou, Suren Kumar:
Finetuning-Free Personalization of Text to Image Generation via Hypernetworks. - Yi Zhou, Chunyu Luo, Zhengren Wang, Zhang-Hua Fu:
A Branch-and-Bound Approach for Maximum Low-Diameter Dense Subgraph Problems. - Shuting Qiu, Fang Dong, Siyu Tan, Ruiting Zhou, Dian Shen, Patrick P. C. Lee, Qilin Fan:
Joint Optimization of DNN Model Caching and Request Routing in Mobile Edge Computing. - Yijing Chu, Qinxuan Xiang, Sipei Zhao, Ming Wu, Yuezhe Zhao, Guangzheng Yu:
Active Noise Control Method Using Time Domain Neural Networks for Path Decoupling. - Yun-Chen Lin, Jiayuan Huang, Hanyuan Zhang, Sergi Kavtaradze, Matthew J. Clarkson, Mobarak I. Hoque:
Subsampled Randomized Fourier GaLore for Adapting Foundation Models in Depth-Driven Liver Landmark Segmentation. - Raj Surya Rajendran Kathirvel, Zachary Chavis, Stephen J. Guy, Karthik Desingh:
SENT Map - Semantically Enhanced Topological Maps with Foundation Models. - Kevin Wang, Subre Abdoul Moktar, Jia Li, Kangshuo Li, Feng Chen:
Measuring Aleatoric and Epistemic Uncertainty in LLMs: Empirical Evaluation on ID and OOD QA Tasks. - Xin Liu, Jinze Wu, Yinghui Li, Chenkun Qi, Yufei Xue, Feng Gao:
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning. - Tingzhu Bi, Yicheng Pan, Xinrui Jiang, Huize Sun, Meng Ma, Ping Wang:
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems. - Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva:
Uncovering Bugs in Formal Explainers: A Case Study with PyXAI. - Hajung Kim, Jueon Park, Junseok Choe, Sheunheun Baek, Hyeon Hwang, Jaewoo Kang:
GraphCliff: Short-Long Range Gating for Subtle Differences but Critical Changes. - Jiawei Zhou, Lei Zhang, Mei Li, Benjamin D. Horne, Munmun De Choudhury:
AI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse. - Shreyas C. Dhake, Jiayuan Huang, Runlong He, Danyal Z. Khan, Evangelos B. Mazomenos, Sophia Bano, Hani J. Marcus, Danail Stoyanov, Matthew J. Clarkson, Mobarak I. Hoque:
SurgAnt-ViVQA: Learning to Anticipate Surgical Events through GRU-Driven Temporal Cross-Attention. - Varun Kumar, George Em Karniadakis:
Toward Autonomous Engineering Design: A Knowledge-Guided Multi-Agent Framework. - Shahriyar Zaman Ridoy, Azmine Toushik Wasi, Koushik Ahamed Tonmoy:
BengaliMoralBench: A Benchmark for Auditing Moral Reasoning in Large Language Models within Bengali Language and Culture. - Rewida Ali, Cristian C. Beltran-Hernandez, Weiwei Wan, Kensuke Harada:
Learning-based Cooperative Robotic Paper Wrapping: A Unified Control Policy with Residual Force Control. - Vinaik Chhetri, A. B. Siddique, Umar Farooq:
Understanding Robustness of Model Editing in Code LLMs: An Empirical Study. - Yiru Chen, Sally Fang, Sai Sree Harsha, Dan Luo, Vaishnavi Muppala, Fei Wu, Shun Jiang, Kun Qian, Yunyao Li:
Adobe Summit Concierge Evaluation with Human in the Loop. - Jonghae Park, Daesol Cho, Jusuk Lee, Dongseok Shim, Inkyu Jang, H. Jin Kim:
Periodic Skill Discovery. - Zeqing Zhang, Weifeng Lu, Lei Yang, Wei Jing, Bowei Tang, Jia Pan:
Collaborative Assembly Policy Learning of a Sightless Robot. - Mingtao Zhang, Guoli Yang, Zhanxing Zhu, Mengzhu Wang, Xiaoying Bai:
Efficient Linear Attention for Multivariate Time Series Modeling via Entropy Equality. - Le Xue, Gang Feng, Wenbo Zhang, Yichi Zhang, Lanlan Li, Shuqi Wang, Liling Peng, Sisi Peng, Xin Gao:
PETWB-REP: A Multi-Cancer Whole-Body FDG PET/CT and Radiology Report Dataset for Medical Imaging Research. - Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu:
Cross-Modal Alignment via Variational Copula Modelling. - Maryam Alipourhajiagha, Pierre-Louis Lemaire, Youssef Diouane, Julie Carreau:
A Probabilistic U-Net Approach to Downscaling Climate Simulations. - Jiawei Zhou, Amy Z. Chen, Darshi Shah, Laura Schwab Reese, Munmun De Choudhury:
Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information. - Hassan Wasswa, Hussein Abbass, Timothy Lynar:
A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies. - Deyang Yu, Chenchen Liu, Chuanjie Zhang, Xiao Fang, Weisheng Zhao:
An Event-Driven Spiking Compute-In-Memory Macro based on SOT-MRAM. - Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong, Ruochen Wang, Cho-Jui Hsieh:
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models. - Patel Adam Burhansab, M. Sadik Batcha, Muneer Ahmad:
A Study on Library Resources with Services Satisfaction based on Library Users Affiliated Colleges to Solapur University. - Henry Fraser, Zahra Stardust:
Retrofitters, pragmatists and activists: Public interest litigation for accountable automated decision-making. - Ruting Cheng, Boyuan Feng, Yijiang Zheng, Chuhui Qiu, Aizierjiang Aiersilan, Joaquin A. Calderon, Wentao Zhao, Qing Pan, James K. Hahn:
MvBody: Multi-View-Based Hybrid Transformer Using Optical 3D Body Scan for Explainable Cesarean Section Prediction. - Pengcheng Su, Haibo Cheng, Ping Wang:
Bayesian Advantage of Re-Identification Attack in the Shuffle Model. - Wenchang Lei, Ping Zou, Yue Wang, Feng Sun, Lei Zhao:
LGM: Enhancing Large Language Models with Conceptual Meta-Relations and Iterative Retrieval. - Muneer Ahmad, M. Sadik Batcha:
Russian Contribution to Coronary Artery Disease Research: A Scientometric Mapping of Publications. - Shaghayegh Kolli, Richard Rosenbaum, Timo Cavelius, Lasse Strothe, Andrii Lata, Jana Diesner:
Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification. - Pengyu Jie, Wanquan Liu, Rui He, Yihui Wen, Deyu Meng, Chenqiang Gao:
Diffusion-Guided Mask-Consistent Paired Mixing for Endoscopic Image Segmentation. - Yang Guo, Stefan Streif:
MHE in Output Feedback Control of Uncertain Nonlinear Systems via IQCs. - Alexander Htet Kyaw, Lenin Ravindranath Sivalingam:
Node-Based Editing for Multimodal Generation of Text, Audio, Image, and Video. - Shantanu Agarwal, Joel Barry, Elizabeth Boschee, Scott Miller:
Beyond Ranked Lists: The SARAL Framework for Cross-Lingual Document Set Retrieval. - Yong Huang, Zhibo Dong, Xiaoguang Yang, Dalong Zhang, Qingxian Wang, Zhihua Wang:
Smartphone User Fingerprinting on Wireless Traffic. - Sichen Guo, Wenjie Li, Yuanyang Liu, Guangwei Gao, Jian Yang, Chia-Wen Lin:
Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution. - Yi-Fei Liu, Yi-Long Lu, Di He, Hang Zhang:
From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers. - Souvik Rana, Arul Menezes, Ashish Kulkarni, Chandra Khatri, Shubham Agarwal:
IndicSuperTokenizer: An Optimized Tokenizer for Indic Multilingual LLMs. - Miguel Costa, Arthur Vandervoort, Martin Drews, Karyn Morrissey, Francisco C. Pereira:
Incorporating Quality of Life in Climate Adaptation Planning via Reinforcement Learning. - Philipp Reis, Philipp Rigoll, Christian Steinhauser, Jacob Langner, Eric Sax:
A Feedback-Control Framework for Efficient Dataset Collection from In-Vehicle Data Streams. - Gang Bao, Yaohua Zang:
A unified physics-informed generative operator framework for general inverse problems. - Miguel Costa, Arthur Vandervoort, Martin Drews, Karyn Morrissey, Francisco C. Pereira:
Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways. - Fei Zhao, Zhong-Qiu Wang:
Why Not Put a Microphone Near the Loudspeaker? A New Paradigm for Acoustic Echo Cancellation. - Liwei Luo, Shuaitengyuan Li, Dongwei Ren, Qilong Wang, Pengfei Zhu, Qinghua Hu:
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning. - Amy Chang, Nicholas Conley, Harish Santhanalakshmi Ganesan, Adam Swanda:
Death by a Thousand Prompts: Open Model Vulnerability Analysis. - Junhao Li, Jiahao Chen, Zhou Feng, Chunyi Zhou:
Auditing M-LLMs for Privacy Risks: A Synthetic Benchmark and Evaluation Framework. - Joan Gutierrez-Florensa, Francesco Sanniti, Domenico Tedeschi, Lukas Sigrist, Álvaro Ortega, Federico Milano:
Theoretical and Experimental Limitations of RoCoF Estimation. - Zhibin Wang, Zhixing Zhang, Shuqi Wang, Xuanting Xie, Zhao Kang:
GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models. - Nikolina Tomic, Roshni Bhatnagar, Sarthak Jain, Connor Lau, Tien-Yu Liu, Laura Gambini, Rima Arnaout:
Generative deep learning for foundational video translation in ultrasound. - Jing Ma, Hanlin Li, Xiang Xiang:
Decoupled Entropy Minimization. - Rong Wu, Yim-Sang Yu:
Enhancing Medical Image Segmentation via Heat Conduction Equation. - Ranul Dayarathne, Uvini Ranaweera, Upeksha Ganegoda:
Comparing the Performance of LLMs in RAG-based Question-Answering: A Case Study in Computer Science Literature. - Vaishali Aggarwal, Nicolas Gillis, Punit Sharma:
Computing the nearest Ω-admissible descriptor dissipative Hamiltonian system. - Bingyang Guo, Hongjie Li, Ruiyun Yu, Hanzhe Liang, Jinbao Wang:
IEC3D-AD: A 3D Dataset of Industrial Equipment Components for Unsupervised Point Cloud Anomaly Detection. - Jin-woo Lee, Junhwa Choi, Bongkyu Hwang, Jinho Choo, Bogun Kim, JeongSeon Yi, Joonseok Lee, DongYoung Jung, Jaeseon Park, Kyoungwon Park, Suk Hoon Jung:
SCALE: Upscaled Continual Learning of Large Language Models. - Yize Liu, Yunyun Hou, Aina Sui:
Let the Bees Find the Weak Spots: A Path Planning Perspective on Multi-Turn Jailbreak Attacks against LLMs. - Shuangquan Lyu, Steven Mao, Yue Ma:
Unified Long Video Inpainting and Outpainting via Overlapping High-Order Co-Denoising. - Jinjie Ni, Qian Liu, Longxu Dou, Chao Du, Zili Wang, Hang Yan, Tianyu Pang, Michael Qizhe Shieh:
Diffusion Language Models are Super Data Learners. - Ning Lyu, Yuxi Wang, Ziyu Cheng, Qingyuan Zhang, Feng Chen:
Multi-Objective Adaptive Rate Limiting in Microservices Using Deep Reinforcement Learning. - Rob Romijnders, Gabriele Cesa, Christos Louizos, Kumar Pratik, Arash Behboodi:
A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with Applications to MIMO Wireless Communication Systems. - Xinyu Ning, Yan Zhuo, Xian Wang, Chan-In Devin Sio, Lik-Hang Lee:
When Generative Artificial Intelligence meets Extended Reality: A Systematic Review. - Qingyuan Zhang, Ning Lyu, Le Liu, Yuxi Wang, Ziyu Cheng, Cancan Hua:
Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices. - Ehud Shapiro:
Characterising Global Platforms: Centralised, Decentralised, Federated, and Grassroots. - Tian Bai, Zhiyi Huang, Chui Shan Lee, Dongchen Li:
Optimal Stopping with a Predicted Prior. - Hai Huang, Xuhong Qiang, Weisheng Zhao, Chenchen Liu:
UMDAM: A Unified Data Layout and DRAM Address Mapping for Heterogenous NPU-PIM. - Mauro Cettolo, Marco Gaido, Matteo Negri, Sara Papi, Luisa Bentivogli:
How to Evaluate Speech Translation with Source-Aware Neural MT Metrics. - Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels, Mauro Salazar:
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games - Part II: Stability. - Oleg Senkevich, Siyang Xu, Tianyi Jiang, Alexander Radionov, Jan Tabaszewski, Dmitriy Malyshev, Zijian Li, Daihao Xue, Licheng Yu, Weidi Zeng, Meiling Wang, Xin Yao, Siyu Huang, Gleb Neshchetkin, Qiuling Pan, Yaoyao Fu:
KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng. - Felix Störck, Fabian Hinder, Barbara Hammer:
Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods. - Haoqin Zhao, Zan Li, Jiangbo Si, Rui Huang, Hang Hu, Tony Q. S. Quek, Naofal Al-Dhahir:
DRL-Based Robust Multi-Timescale Anti-Jamming Approaches under State Uncertainty. - Jiali Xu, Valeria Loscrì, Romain Rouvoy:
Integrity Under Siege: A Rogue gNodeB's Manipulation of 5G Network Slice Allocation. - Minghao Fu, Guo-Hua Wang, Tianyu Cui, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang:
Diffusion-SDPO: Safeguarded Direct Preference Optimization for Diffusion Models. - Giulio Caldarelli, Massimiliano Ornaghi:
Two thousand years of the oracle problem. Insights from Ancient Delphi on the future of blockchain oracles. - Zekai Chen, Min Sha:
Constacyclic codes with best-known parameters. - Mauro Orazio Drago, Luca Carlini, Pelinsu Celebi Balyemez, Dennis Pierantozzi, Chiara Lena, Cesare Hassan, Danail Stoyanov, Elena De Momi, Sophia Bano, Mobarak I. Hoque:
SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding. - Jindong Hong, Tianjie Chen, Lingjie Luo, Chuanyang Zheng, Ting Xu, Haibao Yu, Jianing Qiu, Qianzhong Chen, Suning Huang, Yan Xu, Yong Gui, Yijun He, Jiankai Sun:
Benchmarking the Thinking Mode of Multimodal Large Language Models in Clinical Tasks. - Shenghua Wang, Zhen Yin:
Discourse-Aware Scientific Paper Recommendation via QA-Style Summarization and Multi-Level Contrastive Learning. - Yi Yang, Yiming Xu, Timo Kaiser, Hao Cheng, Bodo Rosenhahn, Michael Ying Yang:
Multi-Object Tracking Retrieval with LLaVA-Video: A Training-Free Solution to MOT25-StAG Challenge. - Guozhen Zhang, Zixiang Zhou, Teng Hu, Ziqiao Peng, Youliang Zhang, Yi Chen, Yuan Zhou, Qinglin Lu, Limin Wang:
UniAVGen: Unified Audio and Video Generation with Asymmetric Cross-Modal Interactions. - Aloïs Duguet, Tobias Harks, Martin Schmidt, Julian Schwarz:
Branch-and-Cut for Computing Approximate Equilibria of Mixed-Integer Generalized Nash Games. - Haomin Li, Fangxin Liu, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan:
LaMoS: Enabling Efficient Large Number Modular Multiplication through SRAM-based CiM Acceleration. - Daniel Walsken, Pavel S. Petrov, Matthias Ehrhardt:
A Spectral Split-Step Padé Method for Guided Wave Propagation. - Elif Arslan, Jacobus G. M. van der Linden, Serge P. Hoogendoorn, Marco Rinaldi, Emir Demirovic:
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration. - Sander Borst, Danish Kashaev:
Improved Online Load Balancing in the Two-Norm. - Changxi Zhu, Mehdi Dastani, Shihan Wang:
Learning Communication Skills in Multi-task Multi-agent Deep Reinforcement Learning. - Saba Latif, Fajar J. Ekaputra, Maxim Vidgof, Sabrina Kirrane, Claudio Di Ciccio:
A Semantic Encoding of Object Centric Event Data. - Riasad Alvi, Sayeem Been Zaman, Wasimul Karim, Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan, Saddam Hossain Mukta, Md. Rafi Ur Rashid, Md Rafiqul Islam, Yakub Sebastian, Sami Azam:
Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances. - Xiaocai Zhang, Hur Lim, Ke Wang, Zhe Xiao, Jing Wang, Kelvin Lee, Xiuju Fu, Zheng Qin:
A Modular, Data-Free Pipeline for Multi-Label Intention Recognition in Transportation Agentic AI Applications. - Kapila W. S. Palitharathna, Constantinos Psomas, Ioannis Krikidis:
Lightwave Power Transfer-Enabled Underwater Optical ISAC Systems under Ship Attitude Variation. - Gahyeon Kim, Sohee Kim, Seokju Lee:
Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models. - Hongrun Ren, Yun Xiong, Lei You, Yingying Wang, Haixu Xiong, Yangyong Zhu:
TripleWin: Fixed-Point Equilibrium Pricing for Data-Model Coupled Markets. - Rom Himelstein, Amit Levi, Brit Youngmann, Yaniv Nemcovsky, Avi Mendelson:
Silenced Biases: The Dark Side LLMs Learned to Refuse. - Yunbo Long, Yuhan Liu, Alexandra Brintrup:
EQ-Negotiator: Dynamic Emotional Personas Empower Small Language Models for Edge-Deployable Credit Negotiation. - Shenghao Li:
LFC-DA: Logical Formula-Controlled Data Augmentation for Enhanced Logical Reasoning. - Mengyao Guo, Kexin Nie, Ze Gao, Black Sun, Xueyang Wang, Jinda Han, Xingting Wu:
I Prompt, it Generates, we Negotiate. Exploring Text-Image Intertextuality in Human-AI Co-Creation of Visual Narratives with VLMs. - Yangliu Fan, Kilian Buehling, Volker Stocker:
Beyond Citations: Measuring Idea-level Knowledge Diffusion from Research to Journalism and Policy-making. - Samarth Toolhally, Joeri Roelofs, Siep Weiland, Amritam Das:
A Digital Twin of Evaporative Thermo-Fluidic Process in Fixation Unit of DoD Inkjet Printers. - Saumitra Yadav, Manish Shrivastava:
Segmentation Beyond Defaults: Asymmetrical Byte Pair Encoding for Optimal Machine Translation Performance. - Balagopal Komarath, Rohit Narayanan:
Monotone Bounded Depth Formula Complexity of Graph Homomorphism Polynomials. - Yiyuan Wang:
A New Algorithm for Computing the Stabilizing Solution of General Periodic Time-Varying Stochastic Game-Theoretic Riccati Differential Equations. - João Victor Galvão da Mata, Anders Hansson, Martin S. Andersen:
Maximum Likelihood Estimation of Dynamic Sub-Networks with Missing Data. - Chiara Rucco, Motaz Saad, Antonella Longo:
Formalizing ETLT and ELTL Design Patterns and Proposing Enhanced Variants: A Systematic Framework for Modern Data Engineering. - Zhonghao Liang, Chenlu Jia, Qunying Liao:
The (+)-(L, P)-TGRS code. - Minquan Gao, Xinyi Li, Qing Yan, Xiaojian Sun, Xiaopan Zhang, Chien-Ming Huang, Jiachen Li:
GUIDES: Guidance Using Instructor-Distilled Embeddings for Pre-trained Robot Policy Enhancement. - Shen Chen, Yanlong Li, Jiamin Cui, Wei Yao, Jisong Wang, Yixin Tian, Chaohou Liu, Yang Yang, Jiaxi Ying, Zeng Liu, Jinjun Liu:
An Alternative Derivation and Optimal Design Method of the Generalized Bilinear Transformation for Discretizing Analog Systems. - Qianhui Zhao, Li Zhang, Fang Liu, Junhang Cheng, Chengru Wu, Junchen Ai, Qiaoyuanhe Meng, Lichen Zhang, Xiaoli Lian, Shubin Song, Yuanping Guo:
Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling. - Alexandros Vazaios, Jannis Brugger, Cedric Derstroff, Kristian Kersting, Mira Mezini:
Adaptable Hindsight Experience Replay for Search-Based Learning. - Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, Hanna Abi Akl:
Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties. - Canhui Wu, Qiong Cao, Chao Xue, Wei Xi, Xiaodong He:
Efficient Reasoning via Thought-Training and Thought-Free Inference. - Longpeng Qiu, Ting Li, Shuai Mao, Nan Yang, Xiaohui Yan:
Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG. - Xusheng Zhu, Farshad Rostami Ghadi, Tuo Wu, Kaitao Meng, Chao Wang, Gui Zhou:
On the Fundamental Scaling Laws of Fluid Antenna Systems. - Nikolai Herrmann, Marcella C. Zijta, Stefan Klein, Régine P. M. Steegers-Theunissen, Rene M. H. Wijnen, Bernadette S. De Bakker, Melek Rousian, Wietske A. P. Bastiaansen:
Robust Alignment of the Human Embryo in 3D Ultrasound using PCA and an Ensemble of Heuristic, Atlas-based and Learning-based Classifiers Evaluated on the Rotterdam Periconceptional Cohort. - Shihai Wang, Tao Chen:
Light over Heavy: Automated Performance Requirements Quantification with Linguistic Inducement. - Ilya Borovik, Dmitrii Gavrilev, Vladimir Viro:
SyMuPe: Affective and Controllable Symbolic Music Performance. - Florentia Afentaki, Maha Shatta, Konstantinos Balaskas, Georgios Panagopoulos, Georgios Zervakis, Mehdi B. Tahoori:
Design and Optimization of Mixed-Kernel Mixed-Signal SVMs for Flexible Electronics. - Botao Amber Hu, Helena Rong:
Inter-Agent Trust Models: A Comparative Study of Brief, Claim, Proof, Stake, Reputation and Constraint in Agentic Web Protocol Design-A2A, AP2, ERC-8004, and Beyond. - Md Mizanur Rahaman Nayan, Zheyu Li, Flavio Ponzina, Sumukh Pinge, Tajana Rosing, Azad J. Naeemi:
HERP: Hardware for Energy Efficient and Realtime DB Search and Cluster Expansion in Proteomics. - Lucas Slot, David Steurer, Manuel Wiedmer:
Hesse's Redemption: Efficient Convex Polynomial Programming. - Doria Bonzi, Alexandre Guiggi, Frédéric Béchet, Carlos Ramisch, Benoît Favre:
CareMedEval dataset: Evaluating Critical Appraisal and Reasoning in the Biomedical Field. - Vesna Poprcova, Iulia Lefter, Martijn Warnier, Frances M. T. Brazier:
Value Elicitation for a Socially Assistive Robot Addressing Social Anxiety: A Participatory Design Approach. - Kevin Manogue, Tomasz M. Schang, Dilara Kus, Jonas Müller, Stefan Zachow, Agniva Sengupta:
Generalizing Shape-from-Template to Topological Changes. - Christian Bertram, Deborah Haun, Mads Vestergaard Jensen, Tuukka Korhonen:
Dynamic Meta-Kernelization. - Mihriban Kocak Balik, Pekka Marttinen, Negar Safinianaini:
POEMS: Product of Experts for Interpretable Multi-omic Integration using Sparse Decoding. - Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, Hanna Abi Akl:
Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction. - Ming Gu, Ziwei Wang, Sicen Lai, Zirui Gao, Sheng Zhou, Jiajun Bu:
Towards Scalable Web Accessibility Audit with MLLMs as Copilots. - Alexandru Cioba, Aya Kayal, Laura Toni, Sattar Vakili, Alberto Bernacchia:
Reinforcement Learning Using known Invariances. - Yinsicheng Jiang, Yeqi Huang, Liang Cheng, Cheng Deng, Xuan Sun, Luo Mai:
RAGBoost: Efficient Retrieval-Augmented Generation with Accuracy-Preserving Context Reuse. - Jeongah Lee, Ali Sarvghad:
SVG Decomposition for Enhancing Large Multimodal Models Visualization Comprehension: A Study with Floor Plans. - Khalid Belhajjame, Haroun Mezrioui, Yuyan Zhao:
In-Memory Indexing and Querying of Provenance in Data Preparation Pipelines. - Jianbo Yuan, Haohua Zhu, Jing Dai, Sheng Yi:
Development of the Bioinspired Tendon-Driven DexHand 021 with Proprioceptive Compliance Control. - Giorgio Palma, Ivan Santic, Andrea Serani, Lorenzo Minno, Matteo Diez:
System Identification of a Moored ASV with Recessed Moon Pool via Deterministic and Bayesian Hankel-DMDc. - Yutong Geng, Enze Sun, Zonghan Yang, Yuhao Zhang:
Online Flow Time Minimization: Tight Bounds for Non-Preemptive Algorithms. - David Soler, Carlos Dafonte, Manuel Fernández-Veiga, Ana Fernández Vilas, Francisco Javier Nóvoa:
Federated Anonymous Blocklisting across Service Providers and its Application to Group Messaging. - Alvise Dei Rossi, Julia van der Meer, Markus H. Schmidt, Claudio L. A. Bassetti, Luigi Fiorillo, Francesca Faraci:
NAP: Attention-Based Late Fusion for Automatic Sleep Staging. - Daniel Kang:
Analytical Queries for Unstructured Data. - Étienne Bamas, Shi Li, Lars Rohwedder:
Randomized Rounding over Dynamic Programs. - Elvis Dohmatob, Mohammad Pezeshki, Reyhane Askari Hemmat:
Why Less is More (Sometimes): A Theory of Data Curation. - Amir Bahador Javadi, Philip Pong:
Data-driven Modeling of Grid-following Control in Grid-connected Converters. - Lei Fu, Sahar Salimpour, Leonardo Militano, Harry Edelman, Jorge Peña Queralta, Giovanni Toffetti:
ROSBag MCP Server: Analyzing Robot Data with LLMs for Agentic Embodied AI Applications. - Kazi Reyazul Hasan, Mubasshira Musarrat, A. B. M. Alim Al Islam, Muhammad Abdullah Adnan:
BanglaSTEM: A Parallel Corpus for Technical Domain Bangla-English Translation. - Gabriel Spadon, Vaishnav Vaidheeswaran, Claudio DiBacco:
A Theoretical Framework for Environmental Similarity and Vessel Mobility as Coupled Predictors of Marine Invasive Species Pathways. - Ding Chen, Simin Niu, Kehang Li, Peng Liu, Xiangping Zheng, Bo Tang, Xinchi Li, Feiyu Xiong, Zhiyu Li:
HaluMem: Evaluating Hallucinations in Memory Systems of Agents. - Qi Jia, Kaiwei Zhang, Xiujie Song, Ye Shen, Xiangyang Zhu, Guangtao Zhai:
One Battle After Another: Probing LLMs' Limits on Multi-Turn Instruction Following with a Benchmark Evolving Framework. - Wencheng Ye, Yan Liu:
U2F: Encouraging SWE-Agent to Seize Novelty without Losing Feasibility. - Yannik P. Wotte, Patrick Buchfink, Silke Glas, Federico Califano, Stefano Stramigioli:
Model order reduction via Lie groups. - Marco D'Elia, Irene Finocchi, Maurizio Patrignani:
Engineering Algorithms for ℓ-Isolated Maximal Clique Enumeration. - Bryan L. M. de Oliveira, Felipe Vieira Frujeri, Marcos P. C. M. Queiroz, Luana G. B. Martins, Telma W. L. Soares, Luckeciano C. Melo:
Learning Without Critics? Revisiting GRPO in Classical Reinforcement Learning Environments. - Javad Parsa, Amir Hossein Daghestani, André M. H. Teixeira, Mikael Johansson:
Byzantine-Robust Federated Learning with Learnable Aggregation Weights. - Marc Martinez-Gost, Sara Pepe, Ana I. Pérez-Neira, Miguel Angel Lagunas:
Efficient Neural Networks with Discrete Cosine Transform Activations. - Nils Japke, Furat Hamdan, Diana Baumann, David Bermbach:
Investigating the Impact of Isolation on Synchronized Benchmarks. - Zhaoxin Chang, Fusang Zhang, Jie Xiong, Ziyu Li, Badii Jouaber, Daqing Zhang:
PnPSelect: Plug-and-play IoT Device Selection Using Ultra-wideband Signals. - Jaydip Sen:
Security and Privacy Management of IoT Using Quantum Computing. - Roberta Di Marino, Giovanni Dioguardi, Antonio Romano, Giuseppe Riccio, Mariano Barone, Marco Postiglione, Flora Amato, Vincenzo Moscato:
SOLVE-Med: Specialized Orchestration for Leading Vertical Experts across Medical Specialties. - Sebastian Ordyniak, Giacomo Paesani, Mateusz Rychlicki, Stefan Szeider:
Explaining Decisions in ML Models: a Parameterized Complexity Analysis (Part I). - Brian DuSell, Ryan Cotterell:
Bearing Syntactic Fruit with Stack-Augmented Neural Networks. - Matan Schliserman, Shira Vansover-Hager, Tomer Koren:
Flat Minima and Generalization: Insights from Stochastic Convex Optimization. - Ziv Nevo, Orna Raz, Karen Yorav:
Uncovering Code Insights: Leveraging GitHub Artifacts for Deeper Code Understanding. - Hong Wang, Ridhima Phatak, James Ocampo, Zhao Han:
Indicating Robot Vision Capabilities with Augmented Reality. - Sofie Helene Bruun, Dan Saattrup Smart:
MultiZebraLogic: A Multilingual Logical Reasoning Benchmark. - Joachim Diederich:
AILA-First Experiments with Localist Language Models. - One Octadion, Bondan Sapta Prakoso, Nanang Yudi Setiawan, Novanto Yudistira:
ASVRI-Legal: Fine-Tuning LLMs with Retrieval Augmented Generation for Enhanced Legal Regulation. - Iason Chrysomallis, Georgios Chalkiadakis:
Imitation Learning in the Deep Learning Era: A Novel Taxonomy and Recent Advances. - Günther Schindler, Maximilian Schambach, Michael Medek, Sam Thelin:
TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval. - Hao Shi, Ze Wang, Shangwei Guo, Mengfei Duan, Song Wang, Teng Chen, Kailun Yang, Lin Wang, Kaiwei Wang:
OneOcc: Semantic Occupancy Prediction for Legged Robots with a Single Panoramic Camera. - Aniol Civit, Antonio Andriella, Carles Sierra, Guillem Alenyà:
Multi-User Personalisation in Human-Robot Interaction: Using Quantitative Bipolar Argumentation Frameworks for Preferences Conflict Resolution. - Mainak Singha:
Learning Under Laws: A Constraint-Projected Neural PDE Solver that Eliminates Hallucinations. - Kaixin Jia, Kewen Zhu, Huanghuang Deng, Yiwu Qiu, Shiying Ding, Chenyang Ding, Ning Zou, Zejian Li:
Knowledge Graph for Intelligent Generation of Artistic Image Creation: Constructing a New Annotation Hierarchy. - Andrei Ivanov, Siyuan Shen, Gioele Gottardo, Marcin Chrapek, Afif Boudaoud, Timo Schneider, Luca Benini, Torsten Hoefler:
PerfDojo: Automated ML Library Generation for Heterogeneous Architectures. - Romain Brégier, Guénolé Fiche, Laura Bravo-Sánchez, Thomas Lucas, Matthieu Armando, Philippe Weinzaepfel, Grégory Rogez, Fabien Baradel:
Human Mesh Modeling for Anny Body. - Qingyi Chen, Ruiqi Ni, Jun Kim, Ahmed H. Qureshi:
Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning. - Suraj Kumar, Aditya Rallapalli, Ashok Kumar Kakula, Bharat Kumar G. V. P.:
Powered Descent Trajectory Optimization of Chandrayaan-3 using Radau Collocation and Controllable Sets. - Junyi Wu, Dan Li:
Tensor-Efficient High-Dimensional Q-learning. - Hussam Al Daas, Grey Ballard, Laura Grigori, Mariana Martinez Aguilar, Arvind K. Saibaba, Bhisham Dev Verma:
Adaptive Randomized Tensor Train Rounding using Khatri-Rao Products. - Chao Yan, Boyong Wu, Peng Yang, Pengfei Tan, Guoqiang Hu, Yuxin Zhang, Xiangyu Zhang, Fei Tian, Xuerui Yang, Xiangyu Tony Zhang, Daxin Jiang, Gang Yu:
Step-Audio-EditX Technical Report. - Victor Gracia, Pablo Krupa, Filiberto Fele, Teodoro Alamo:
Artificial-reference tracking MPC with probabilistically validated performance on industrial embedded systems. - Ruaridh A. Clark, Francesca Arrigo, Agathe Bouis, Malcolm Macdonald:
A local eigenvector centrality. - Cameron Calk, Emmanuel Godard:
Stone Duality Proofs for Colorless Distributed Computability Theorems. - Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, Hanna Abi Akl:
A systematic review of relation extraction task since the emergence of Transformers. - Iason Chrysomallis, Georgios Chalkiadakis:
Going Beyond Expert Performance via Deep Implicit Imitation Reinforcement Learning. - Timo Brand, Henry Förster, Stephen G. Kobourov, Jacob Miller:
Visualization Biases MLLM's Decision Making in Network Data Tasks. - Shangtong Zhang:
Towards Formalizing Reinforcement Learning Theory. - Philipp Hager, Onno Zoeter, Maarten de Rijke:
CLAX: Fast and Flexible Neural Click Models in JAX. - Swadhin Agrawal, Sujoy Bhore, Joseph S. B. Mitchell, P. B. Sujit, Aayush Gohil:
Multi-robot searching with limited sensing range for static and mobile intruders. - Hadi Hosseini, Shraddha Pathak, Yu Zhou:
Non-Monotonicity in Fair Division of Graphs. - Bartlomiej Malkus, Szymon Bobek, Grzegorz J. Nalepa:
Financial Management System for SMEs: Real-World Deployment of Accounts Receivable and Cash Flow Prediction. - Cemil Vahapoglu, Timothy J. O'Shea, Wan Liu, Sennur Ulukus:
Neural Beamforming with Doppler-Aware Sparse Attention for High Mobility Environments. - Alexander Pfefferle, Johannes Hog, Lennart Purucker, Frank Hutter:
nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN. - Apoorva Upadhyaya, Wolfgang Nejdl, Marco Fisichella:
Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability. - Thomas Souverain:
Watermarking Large Language Models in Europe: Interpreting the AI Act in Light of Technology. - Yeganeh Bahoo, Sajad Saeedi, Roni Sherman:
Generalized k-Cell Decomposition for Visibility Planning in Polygons. - Vittal L. Rao:
Signal Intensity-weighted coordinate channels improve learning stability and generalisation in 1D and 2D CNNs in localisation tasks on biomedical signals. - Debarshi Chanda:
Improved Bounds with a Simple Algorithm for Edge Estimation for Graphs of Unknown Size. - Andrei A. Korigodskii, Oleg D. Kalachev, Artem E. Vasiunik, Matvei V. Urvantsev, Georgii E. Bondar:
Flying Robotics Art: ROS-based Drone Draws the Record-Breaking Mural. - Azizollah Taheri, Derya Aksaray:
Motion Planning Under Temporal Logic Specifications In Semantically Unknown Environments. - Cynthia Dwork, Pranay Tankala:
Efficient Testing Implies Structured Symmetry. - Mikel Antoñana, Joseba Makazaga, Ander Murua:
SIMD-vectorized implicit symplectic integrators can outperform explicit ones. - Jing Gao, Shutiao Luo, Yumeng Liu, Yuanming Li, Hongji Zeng:
ChiMDQA: Towards Comprehensive Chinese Document QA with Fine-grained Evaluation. - Marcelo Actis, Silvano Figueroa, Eduardo M. Garau:
Left Inverses for B-spline Subdivision Matrices in Tensor-Product Spaces. - Mahek Desai, Apoorva Rumale, Marjan Asadinia:
SHIELD: Securing Healthcare IoT with Efficient Machine Learning Techniques for Anomaly Detection. - Yannis Coutouly, Emmanuel Godard:
A General Input-Dependent Colorless Computability Theorem and Applications to Core-Dependent Adversaries. - Mehdi Sefidgar Dilmaghani, Francis Fowley, Peter Corcoran:
A Lightweight 3D-CNN for Event-Based Human Action Recognition with Privacy-Preserving Potential. - Dongkeun Kim, Minsu Cho, Suha Kwak:
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection. - Daniel Perkins, Oscar J. Escobar, Luke Green:
DQN Performance with Epsilon Greedy Policies and Prioritized Experience Replay. - Shubham Rohal, Shijia Pan:
OriFeel: Origami-Inspired Actuation for Force-Based Tactile Feedback on Ambient Surfaces. - Geoff McDonald, Jonathan Bar Or:
Whisper Leak: a side-channel attack on Large Language Models. - Taito Tashiro, Tomoko Yonezawa, Hirotake Yamazoe:
Unconscious and Intentional Human Motion Cues for Expressive Robot-Arm Motion Design. - Ruiying Wen, Yuntao Dai, Hongyong Wang:
A Constant-Gain Equation-Error Framework for Airliner Aerodynamic Monitoring Using QAR Data. - Atena Khoshkonesh, Mohsen Mohammadagha, Navid Ebrahimi:
Simulation-Based Validation of an Integrated 4D/5D Digital-Twin Framework for Predictive Construction Control. - Eugene Berta, David Holzmüller, Michael I. Jordan, Francis Bach:
Structured Matrix Scaling for Multi-Class Calibration. - Xingyao Wang, Simon Rosenberg, Juan Michelini, Calvin Smith, Hoang H. Tran, Engel Nyst, Rohit Malhotra, Xuhui Zhou, Valerie Chen, Robert Brennan, Graham Neubig:
The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents. - Zhihang Qin, Yueheng Zhang, Wan Su, Linxin Hou, Shenghao Zhou, Zhijun Chen, Yu Jun Tan, Cecilia Laschi:
Source-Free Bistable Fluidic Gripper for Size-Selective and Stiffness-Adaptive Grasping. - Lipeng Zu, Hansong Zhou, Xiaonan Zhang:
Behavior-Adaptive Q-Learning: A Unifying Framework for Offline-to-Online RL. - Mohsen Ahmadzadeh, Kaichang Chen, Georges G. E. Gielen:
AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizing. - Francesco Corso, Francesco Pierri, Gianmarco De Francisci Morales:
Do Androids Dream of Unseen Puppeteers? Probing for a Conspiracy Mindset in Large Language Models. - Prashanth Amireddy, Amik Raj Behera, Srikanth Srinivasan, Madhu Sudan, Sophus Valentin Willumsgaard:
Ideals, Gröbner Bases, and PCPs. - Yu-Erh Pan, Ayesha Siddika Nipu:
LLM-enhanced Air Quality Monitoring Interface via Model Context Protocol. - Guanning Zeng, Zhaoyi Zhou, Daman Arora, Andrea Zanette:
Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards. - J. Pereira, R. O. Ruiz:
Multi-Region Matrix Interpolation for Dynamic Analysis of Aperiodic Structures under Large Model Parameter Perturbations. - Monika Henzinger, Robin Münk, Harald Räcke:
An Improved Quality Hierarchical Congestion Approximator in Near-Linear Time. - Nan Li, Albert Gatt, Massimo Poesio:
Grounded Misunderstandings in Asymmetric Dialogue: A Perspectivist Annotation Scheme for MapTask. - Richard Dewey, Janos Botyanszki, Ciamac C. Moallemi, Andrew T. Zheng:
Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning. - Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi:
Disentangled Concepts Speak Louder Than Words:Explainable Video Action Recognition. - Chenyu Hou, Hua Yu, Gaoxia Zhu, John Derek Anas, Jiao Liu, Yew Soon Ong:
MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning. - Sanidhya Vijayvargiya, Rahul Lokesh:
Efficient On-Device Agents via Adaptive Context Management. - Zhiyin Zhou:
Beyond Chat: a Framework for LLMs as Human-Centered Support Systems. - Joseph Shymanski, Jacob Brue, Sandip Sen:
Not All Explanations are Created Equal: Investigating the Pitfalls of Current XAI Evaluation. - Fengming Liu, Shubin Yu:
MimiTalk: Revolutionizing Qualitative Research with Dual-Agent AI. - Hans Schumann, Louis B. Rosenberg, Ganesh Mani, Gregg Willcox:
Conversational Collective Intelligence (CCI) using Hyperchat AI in a Real-world Forecasting Task. - Pratham Gandhi:
HACI: A Haptic-Audio Code Interface to Improve Educational Outcomes for Visually Impaired Introductory Programming Students. - Philipp Schmitz, Lea Bold, Friedrich M. Philipp, Mario Rosenfelder, Peter Eberhard, Henrik Ebel, Karl Worthmann:
On excitation of control-affine systems and its use for data-driven Koopman approximants. - Dániel István Németh, Kálmán Tornai:
Hybrid ILM-NILM Smart Plug System. - Pranav Bhandari, Nicolas Fay, Sanjeevan Selvaganapathy, Amitava Datta, Usman Naseem, Mehwish Nasim:
Activation-Space Personality Steering: Hybrid Layer Selection for Stable Trait Control in LLMs. - Eugenius Mario Situmorang, Adila Alfa Krisnadhi, Ari Wibisono:
TextualVerifier: Verify TextGrad Step-by-Step. - Xinyi Wang, Devansh R. Agrawal, Dimitra Panagou:
Kalman-Bucy Filtering with Randomized Sensing: Fundamental Limits and Sensor Network Design for Field Estimation. - Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities. - Angelos Alexopoulos, Agorakis Bompotas, Nikitas-Rigas Kalogeropoulos, Panagiotis S. Kechagias, Athanasios P. Kalogeras, Christos Alexakos:
A Model-Based Approach to Automated Digital Twin Generation in Manufacturing. - Marios Impraimakis:
A convolutional neural network deep learning method for model class selection. - Navid Mojahed, Mahdis Rabbani, Shima Nazari:
Predictive Compensation in Finite-Horizon LQ Games under Gauss-Markov Deviations. - Osama A. Marzouk:
InvSim algorithm for pre-computing airplane flight controls in limited-range autonomous missions, and demonstration via double-roll maneuver of Mirage III fighters. - Guang An Ooi, Otavio Bertozzi, Mohd Asim Aftab, Charalambos Konstantinou, Shehab Ahmed:
A Dynamic Recurrent Adjacency Memory Network for Mixed-Generation Power System Stability Forecasting. - Ali Safa, Farida Mohsen, Zainab Ali, Bo Wang, Amine Bermak:
OpenMENA: An Open-Source Memristor Interfacing and Compute Board for Neuromorphic Edge-AI Applications. - Oluwadurotimi Onibonoje, Vuong M. Ngo, Andrew McCarren, Elodie Ruelle, Bernadette O'Brien, Mark Roantree:
Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland. - Rick van der Heijden:
Attractors Is All You Need: Parity Games In Polynomial Time. - Youssef Elmir, Yassine Himeur, Abbes Amira:
Federated Learning with Gramian Angular Fields for Privacy-Preserving ECG Classification on Heterogeneous IoT Devices. - Haoran Zhao, Neema Nassir, Andrés Fielbaum:
Analytical modelling of a stop-less modular bus service with an application to charging strategies comparison. - Xuan Ouyang, Senan Wang, Bouzhou Wang, Siyuan Xiahou, Jinrong Zhou, Yuekang Li:
Laugh, Relate, Engage: Stylized Comment Generation for Short Videos. - Umut Çalikyilmaz, Nitin Nayak, Jinghua Groppe, Sven Groppe:
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems. - Hyunseok Kwak, Kyeongwon Lee, Jae-Jin Lee, Woojoo Lee:
LoRA-Edge: Tensor-Train-Assisted LoRA for Practical CNN Fine-Tuning on Edge Devices. - Candace Ross, Florian Bordes, Adina Williams, Polina Kirichenko, Mark Ibrahim:
What's in Common? Multimodal Models Hallucinate When Reasoning Across Scenes. - Stergios Chatzikyriakidis, Dimitris Papadakis, Sevasti-Ioanna Papaioannou, Erofili Psaltaki:
GRDD+: An Extended Greek Dialectal Dataset with Cross-Architecture Fine-tuning Evaluation. - Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Sara Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason Weston, Dat Huynh:
Scaling Agent Learning via Experience Synthesis. - Jaden Park, Mu Cai, Feng Yao, Jingbo Shang, Soochahn Lee, Yong Jae Lee:
Contamination Detection for VLMs using Multi-Modal Semantic Perturbation. - Tatiana Parlanti, Carlos Adrián Catania:
Temporal Analysis Framework for Intrusion Detection Systems: A Novel Taxonomy for Time-Aware Cybersecurity. - Linghui Zeng, Ruixuan Liu, Atiquer Rahman Sarkar, Xiaoqian Jiang, Joyce C. Ho, Li Xiong:
FusionDP: Foundation Model-Assisted Differentially Private Learning for Partially Sensitive Features. - Shivogo John:
Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations. - Bo Zhao, Berkcan Kapusuzoglu, Kartik Balasubramaniam, Sambit Sahu, Supriyo Chakraborty, Genta Indra Winata:
Optimizing Reasoning Efficiency through Prompt Difficulty Prediction. - François Belias, Naser Ezzati-Jivan, Foutse Khomh:
One Size Does Not Fit All: Architecture-Aware Adaptive Batch Scheduling with DEBA. - Egor Gagushin, Marios Mertzanidis, Alexandros Psomas:
On the Existence of Fair Allocations for Goods and Chores under Dissimilar Preferences. - Jozef Jirásek, Galina Jirásková:
State Complexity of Multiple Concatenation. - Nikolaos Lykousas, Constantinos Patsakis:
Just in Plain Sight: Unveiling CSAM Distribution Campaigns on the Clear Web. - Ozan Kanbertay, Richard Vogg, Elif Karakoc, Peter M. Kappeler, Claudia Fichtel, Alexander S. Ecker:
SILVI: Simple Interface for Labeling Video Interactions. - Zhiguo Ding, Robert Schober, H. Vincent Poor:
Environment Division Multiple Access (EDMA): A Feasibility Study via Pinching Antennas. - Jan Kocon, Maciej Piasecki, Arkadiusz Janz, Teddy Ferdinan, Lukasz Radlinski, Bartlomiej Koptyra, Marcin Oleksy, Stanislaw Wozniak, Pawel Walkowiak, Konrad Wojtasik, Julia Moska, Tomasz Naskret, Bartosz Walkowiak, Mateusz Gniewkowski, Kamil Szyc, Dawid Motyka, Dawid Banach, Jonatan Dalasinski, Ewa Rudnicka, Bartlomiej Alberski, Tomasz Walkowiak, Aleksander Szczesny, Maciej Markiewicz, Tomasz Bernas, Hubert Mazur, Kamil Zyta, Mateusz Tykierko, Grzegorz Chodak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Agnieszka Karlinska, Karolina Seweryn, Anna Kolos, Maciej Chrabaszcz, Katarzyna Lorenc, Aleksandra Krasnodebska, Artur Wilczek, Katarzyna Dziewulska, Paula Betscher, Zofia Cieslinska, Katarzyna Kowol, Daria Mikos, Maciej Trzcinski, Dawid Krutul, Marek Kozlowski, Slawomir Dadas, Rafal Poswiata, Michal Perelkiewicz, Malgorzata Grebowiec, Maciej Kazula, Marcin Bialas, Roman Roszko, Danuta Roszko, Jurgita Vaicenoniene, Andrius Utka, Pawel Levchuk, Pawel Kowalski, Irena Prawdzic-Jankowska, Maciej Ogrodniczuk, Monika Borys, Anna Bulinska, Wiktoria Gumienna, Witold Kieras, Dorota Komosinska, Katarzyna Krasnowska-Kieras, Lukasz Kobylinski, Martyna Lewandowska, Marek Lazinski, Mikolaj Latkowski, Dawid Mastalerz, Beata Milewicz, Agnieszka Anna Mykowiecka, Angelika Peljak-Lapinska, Sandra Penno, Zuzanna Przybysz, Michal Rudolf, Piotr Rybak, Karolina Saputa, Aleksandra Tomaszewska, Aleksander Wawer, Marcin Wolinski, Joanna Woloszyn, Alina Wróblewska, Bartosz Zuk, Filip Zarnecki, Konrad Kaczynski, Anna Cichosz, Zuzanna Deckert, Monika Garnys, Izabela Grabarczyk, Wojciech Janowski, Sylwia Karasinska, Aleksandra Kujawiak, Piotr Misztela, Maria Szymanska, Karolina Walkusz, Igor Siek, Jakub Kwiatkowski, Piotr Pezik:
PLLuM: A Family of Polish Large Language Models. - Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann:
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks. - Ahmed Mostafa, Raisul Arefin Nahid, Samuel Mulder:
How Different Tokenization Algorithms Impact LLMs and Transformer Models for Binary Code Analysis. - Mohammad Atif Quamar, Mohammad Areeb, Mikhail Kuznetsov, Muslum Ozgur Ozmen, Z. Berkay Celik:
STARS: Segment-level Token Alignment with Rejection Sampling in Large Language Models. - Lipeng Zu, Hansong Zhou, Xiaonan Zhang:
From Static to Dynamic: Enhancing Offline-to-Online Reinforcement Learning via Energy-Guided Diffusion Stratification. - Mikolaj Langner, Jan Eliasz, Ewa Rudnicka, Jan Kocon:
Divide, Cache, Conquer: Dichotomic Prompting for Efficient Multi-Label LLM-Based Classification. - James Enouen, Yujia Zheng, Ignavier Ng, Yan Liu, Kun Zhang:
Higher-Order Causal Structure Learning with Additive Models. - Lipeng Zu, Hansong Zhou, Xiaonan Zhang:
Enhancing Q-Value Updates in Deep Q-Learning via Successor-State Prediction. - Yedidel Louck, Ariel Stulman, Amit Dvir:
Security Analysis of Agentic AI Communication Protocols: A Comparative Evaluation. - Yuran Ding, Xinwei Chen, Xiaofan Zhang, Zongwei Zhou:
ASAP: an Agentic Solution to Auto-optimize Performance of Large-Scale LLM Training. - Tianning Dong, Luyi Ma, Varun Vasudevan, Jason Cho, Sushant Kumar, Kannan Achan:
To See or To Read: User Behavior Reasoning in Multimodal LLMs. - Phuc Nguyen, Josiah Couch, Rahul Bansal, Alexandra Morgan, Christopher Tam, Miao Li, Rima Arnaout, Ramy Arnaout:
Which Similarity-Sensitive Entropy? - Duong Mai, Lawrence Hall:
Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets. - Tammy Mackenzie, Sukriti Punj, Natalie Perez, Sreyoshi Bhaduri, Branislav Radeljic:
Levers of Power in the Field of AI. - Noga Alon, Martin Milanic, Pawel Rzazewski:
Induced matching treewidth and tree-independence number, revisited. - Arijit Bhattacharjee, Ali TehraniJamsaz, Le Chen, Niranjan Hasabnis, Mihai Capota, Nesreen K. Ahmed, Ali Jannesari:
OMPILOT: Harnessing Transformer Models for Auto Parallelization to Shared Memory Computing Paradigms. - Julian Frattini, Hans-Martin Heyn, Robert Feldt, Richard Torkar:
Tutorial Debriefing: Applied Statistical Causal Inference in Requirements Engineering. - Kimia Kazemian, Zhenzhen Liu, Yangfanyu Yang, Katie Z. Luo, Shuhan Gu, Audrey Du, Xinyu Yang, Jack Jansons, Kilian Q. Weinberger, John Thickstun, Yian Yin, Sarah Dean:
Benchmark Datasets for Lead-Lag Forecasting on Social Platforms. - Suraj Prasai, Mengnan Du, Ying Zhang, Fan Yang:
KnowThyself: An Agentic Assistant for LLM Interpretability. - Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, Debora Taye Tesfaye, Elbethel Daniel Zewdie, Ikram Behiru Nesiru, Jitu Ewnetu Hailu, Senait Mengesha Yayo:
Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens. - Florence Klitzner, Blanca Iñígo, Benjamin D. Killeen, Lalithkumar Seenivasan, Michelle Song, Axel Krieger, Mathias Unberath:
Investigating Robot Control Policy Learning for Autonomous X-ray-guided Spine Procedures. - Abdulmumin Sa'ad, Sulaimon Oyeniyi Adebayo, Abdul Jabbar Siddiqui:
Desert Waste Detection and Classification Using Data-Based and Model-Based Enhanced YOLOv12 DL Model. - Hlali Azzeddine, Majid Ben Yakhlef, Soulaiman El Hazzat:
Improving Diagnostic Performance on Small and Imbalanced Datasets Using Class-Based Input Image Composition. - Arup Datta, Ahmed Aljohani, Hyunsook Do:
Secure Code Generation at Scale with Reflexion. - Manh Nguyen, Sunil Gupta, Dai Do, Hung Le:
GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation. - Niloufar Yousefi, John W. Simpson-Porco:
Removing Time-Scale Separation in Feedback-Based Optimization via Estimators. - Liam Bakar, Zachary Englhardt, Vidya Srinivas, Girish Narayanswamy, Dilini Nissanka, Shwetak N. Patel, Vikram Iyer:
SnappyMeal: Design and Longitudinal Evaluation of a Multimodal AI Food Logging Application. - Alvin Wei Ming Tan, Ben Prystawski, Veronica Boyce, Michael C. Frank:
Context informs pragmatic interpretation in vision-language models. - Jessi Cisewski-Kehe, Brittany Terese Fasy, Alexander McCleary, Eli Quist, Jack Ruder:
Vectorized Computation of Euler Characteristic Functions and Transforms. - Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Mohsen Imani:
DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets. - Nand Kumar Yadav, Rodrigue Rizk, William CW Chen, KC Santosh:
I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging. - Domício Pereira Neto, João Correia, Penousal Machado:
Evolutionary Optimization Trumps Adam Optimization on Embedding Space Exploration. - Stefano M. Iacus, Devika Jain, Andrea Nasuto, Giuseppe Porro, Marcello Carammia, Andrea Vezzulli:
The Human Flourishing Geographic Index: A County-Level Dataset for the United States, 2013-2023. - Ellen Simpson, Ryan Ermovick, Mona Sloane:
Human Resource Management and AI: A Contextual Transparency Database. - Ekin Ugurel, Cynthia Chen, Brian H. Y. Lee, Filipe Rodrigues:
On Predicting Sociodemographics from Mobility Signals. - Nikta Akbarpour, Mahdieh Sadat Benis, Fatemeh Hendijani Fard, Ali Ouni, Mohamed Aymen Saied:
Collaborative Agents for Automated Program Repair in Ruby. - Arthur Chen, Victor Zhong:
SynQuE: Estimating Synthetic Dataset Quality Without Annotations. - Amala Sanjay Deshmukh, Kateryna Chumachenko, Tuomas Rintamaki, Matthieu Le, Tyler Poon, Danial Mohseni-Taheri, Ilia Karmanov, Guilin Liu, Jarno Seppänen, Guo Chen, Karan Sapra, Zhiding Yu, Adi Renduchintala, Charles Wang, Peter Jin, Arushi Goel, Mike Ranzinger, Lukas Voegtle, Philipp Fischer, Timo Roman, Wei Ping, Boxin Wang, Zhuolin Yang, Nayeon Lee, Shaokun Zhang, Fuxiao Liu, Zhiqi Li, Di Zhang, Greg Heinrich, Hongxu Yin, Song Han, Pavlo Molchanov, Parth Mannan, Yao Xu, Jane Polak Scowcroft, Tom Balough, Subhashree Radhakrishnan, Paris Zhang, Sean Cha, Ratnesh Kumar, Zaid Pervaiz Bhat, Jian Zhang, Darragh Hanley, Pritam Biswas, Jesse Oliver, Kevin Vasques, Roger Waleffe, Duncan Riach, Oluwatobi Olabiyi, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Pritam Gundecha, Khanh Nguyen, Alexandre Milesi, Eugene Khvedchenia, Ran Zilberstein, Ofri Masad, Natan Bagrov, Nave Assaf, Tomer Asida, Daniel Afrimi, Amit Zuker, Netanel Haber, Zhiyu Cheng, Jingyu Xin, Di Wu, Nik Spirin, Maryam Moosaei, Roman Ageev, Vanshil Atul Shah, Yuting Wu, Daniel Korzekwa, Unnikrishnan Kizhakkemadam Sreekumar, Wanli Jiang, Padmavathy Subramanian, Alejandra Rico, Sandip Bhaskar, Saeid Motiian, Kedi Wu, Annie Surla, Chia-Chih Chen, Hayden Wolff, Matthew Feinberg, Melissa Corpuz, Marek Wawrzos, Eileen Long, Aastha Jhunjhunwala, Paul Hendricks, Farzan Memarian, Benika Hall, Xin-Yu Wang, David Mosallanezhad, Soumye Singhal, Luis Vega, Katherine Cheung, Krzysztof Pawelec, Michael Evans, Katherine Luna, Jie Lou:
NVIDIA Nemotron Nano V2 VL. - Iman Adibnazari, Harsh Sharma, Myungsun Park, Jacobo Cervera-Torralba, Boris Kramer, Michael T. Tolley:
Dynamic Shape Control of Soft Robots Enabled by Data-Driven Model Reduction. - Athma Narayanan, Mahesh Subedar, Omesh Tickoo:
PEFA-AI: Advancing Open-source LLMs for RTL generation using Progressive Error Feedback Agentic-AI. - Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani:
LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction. - Raghav Sharma, Manan Mehta, Sai Tiger Raina:
RLHF: A comprehensive Survey for Cultural, Multimodal and Low Latency Alignment Methods. - Fábio Diniz Rossi:
Stochastic Modeling for Energy-Efficient Edge Infrastructure. - Shih-Lun Wu, Yoon Kim, Cheng-Zhi Anna Huang:
MIDI-LLM: Adapting Large Language Models for Text-to-MIDI Music Generation. - Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma:
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization. - Tong Zhang, Vikram Sharma Mailthody, Fei Sun, Linsen Ma, Chris J. Newburn, Teresa Zhang, Yang Liu, Jiangpeng Li, Hao Zhong, Wen-Mei Hwu:
From Minutes to Seconds: Redefining the Five-Minute Rule for AI-Era Memory Hierarchies. - Fu-Chun Yang, Jason Eshraghian:
Direct Semantic Communication Between Large Language Models via Vector Translation. - Marcelo P. Fiore, Ohad Kammar, Georg Moser, Sam Staton:
Modular abstract syntax trees (MAST): substitution tensors with second-class sorts. - Kevin Hong, Kia Karbasi, Gregory J. Pottie:
Extracting Causal Relations in Deep Knowledge Tracing. - Zhejia Cai, Puhua Jiang, Shiwei Mao, Hongkun Cao, Ruqi Huang:
Improving Multi-View Reconstruction via Texture-Guided Gaussian-Mesh Joint Optimization. - Wuxia Chen, Taposh Banerjee, Vahid Tarokh:
Conditional Score Learning for Quickest Change Detection in Markov Transition Kernels. - Kia Karbasi, Kevin Hong, Mohammad Amin Samadi, Gregory J. Pottie:
Multi-Agent Collaborative Framework For Math Problem Generation. - Qian Li, Xin Lyu:
Multi-Pass Streaming Lower Bounds for Uniformity Testing. - Zhong Chen, Changfeng Chen:
A Linear Fractional Transformation Model and Calibration Method for Light Field Camera. - Mingliang Hou, Yinuo Wang, Teng Guo, Zitao Liu, Wenzhou Dou, Jiaqi Zheng, Renqiang Luo, Mi Tian, Weiqi Luo:
PrivacyCD: Hierarchical Unlearning for Protecting Student Privacy in Cognitive Diagnosis. - Ioannis Anagnostides, Maria-Florina Balcan, Kiriaki Fragkia, Tuomas Sandholm, Emanuel Tewolde, Brian Hu Zhang:
The Complexity of Equilibrium Refinements in Potential Games. - Hangyu Teng:
A Co-simulation Framework for Quadrotor Control System Design using ROS 2 and MATLAB/Simulink. - Sam Bahrami, Dylan Campbell:
Room Envelopes: A Synthetic Dataset for Indoor Layout Reconstruction from Images. - Victor Mattos, João Henrique Schmidt, Amit Bhaya, Alan Oliveira de Sá, Daniel Sadoc Menasché, Gaurav Srivastava:
Design and Detection of Covert Man-in-the-Middle Cyberattacks on Water Treatment Plants. - Semih Cayci:
Non-Asymptotic Optimization and Generalization Bounds for Stochastic Gauss-Newton in Overparameterized Models. - Xu Zou:
PETRA: Pretrained Evolutionary Transformer for SARS-CoV-2 Mutation Prediction. - Bram Bulté, Ayla Rigouts Terryn:
LLMs and Cultural Values: the Impact of Prompt Language and Explicit Cultural Framing. - Yuxiao Wang, Di Wu, Feng Liu, Zhimin Qiu, Chenrui Hu:
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models. - Michael Menezes, Barbara Su, Xinze Feng, Yehya Farhat, Hamza Shili, Anastasios Kyrillidis:
TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training. - Zhuowen Yuan, Tao Liu, Yang Yang, Yang Wang, Feng Qi, Kaushik Rangadurai, Bo Li, Shuang Yang:
ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering. - Ahmed A. Metwally, Heyjun Park, Yue Wu, Tracey McLaughlin, Michael P. Snyder:
Use of Continuous Glucose Monitoring with Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes. - Wenshuo Qin, Leyla Isik:
Simple 3D Pose Features Support Human and Machine Social Scene Understanding. - Yuwen Tao, Kanglei Zhou, Xin Tan, Yuan Xie:
CaRF: Enhancing Multi-View Consistency in Referring 3D Gaussian Splatting Segmentation. - Berk Iskar, Michael Taynnan Barros:
Multiscale Astrocyte Network Calcium Dynamics for Biologically Plausible Intelligence in Anomaly Detection. - Mahek Desai, Apoorva Rumale, Marjan Asadinia:
HART: A Hybrid Addressing Scheme for Self-Balancing Binary Search Trees in Phase Change Memory (PCM). - Shiyin Lin:
Hybrid Fuzzing with LLM-Guided Input Mutation and Semantic Feedback. - Yushi Wang, Changsheng Luo, Penghui Chen, Jianran Liu, Weijian Sun, Tong Guo, Kechang Yang, Biao Hu, Yangang Zhang, Mingguo Zhao:
Learning Vision-Driven Reactive Soccer Skills for Humanoid Robots. - Peiyao Wang, Weining Wang, Qi Li:
PhysCorr: Dual-Reward DPO for Physics-Constrained Text-to-Video Generation with Automated Preference Selection. - Kyaw Hpone Myint, Zhe Wu, Alexandre G. R. Day, Giri Iyengar:
Towards Scalable Meta-Learning of near-optimal Interpretable Models via Synthetic Model Generations. - J. Nathan Kutz, Peter W. Battaglia, Michael P. Brenner, Kevin Carlberg, Aric A. Hagberg, Shirley Ho, Stephan Hoyer, Henning Lange, Hod Lipson, Michael W. Mahoney, Frank Noé, Max Welling, Laure Zanna, Francis Zhu, Steven L. Brunton:
Accelerating scientific discovery with the common task framework. - Mingyu Sung, Vikas Palakonda, Suhwan Im, Sunghwan Moon, Il-Min Kim, Sangseok Yun, Jae-Mo Kang:
Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing. - Mahmoud Soliman, Omar Abdelaziz, Ahmed Radwan, Anand, Mohamed Shehata:
GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization. - Chenzui Li, Yiming Chen, Xi Wu, Giacinto Barresi, Fei Chen:
Integrating Ergonomics and Manipulability for Upper Limb Postural Optimization in Bimanual Human-Robot Collaboration. - Yongxi Chen, Lei Chen:
PSD2Code: Automated Front-End Code Generation from Design Files via Multimodal Large Language Models. - Hao Zhu, Jia Li, Cuiyun Gao, Jiaru Qian, Yihong Dong, Huanyu Liu, Lecheng Wang, Ziliang Wang, XiaoLong Hu, Ge Li:
Specification-Guided Vulnerability Detection with Large Language Models. - Mahmoud Soliman, Islam I. Osman, Mohamed S. Shehata, Rasika Rajapakshe:
MedDChest: A Content-Aware Multimodal Foundational Vision Model for Thoracic Imaging. - Shiyin Lin:
Abductive Inference in Retrieval-Augmented Language Models: Generating and Validating Missing Premises. - Sergio Demian Lerner, Ariel Futoransky:
OTS-PC: OTS-based Payment Channels for the Lightning Network. - Shiyin Lin:
LLM-Driven Adaptive Source-Sink Identification and False Positive Mitigation for Static Analysis. - Marina Buzzi, Barbara Leporini, Angelica Lo Duca:
The Benefits of Data Storytelling in Accessible Teaching. - Chang Liu, Bohan Wang:
Shellular Metamaterial Design via Compact Electric Potential Parametrization. - Yihao Luo, Xianglong He, Chuanyu Pan, Yiwen Chen, Jiaqi Wu, Yangguang Li, Wanli Ouyang, Yuanming Hu, Guang Yang, Choon Hwai Yap:
Faithful Contouring: Near-Lossless 3D Voxel Representation Free from Iso-surface. - Divya Pathak, Harshit Kumar, Anuska Roy, Felix George, Mudit Verma, Pratibha Moogi:
Detecting Silent Failures in Multi-Agentic AI Trajectories. - Dongji Gao, Chenda Liao, Changliang Liu, Matthew Wiesner, Leibny Paola García, Daniel Povey, Sanjeev Khudanpur, Jian Wu:
WST: Weakly Supervised Transducer for Automatic Speech Recognition. - Yue Jiet Chong, Yimin Wang, Zhen Wu, Xuanyao Fong:
PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration. - Arfina Rahman, Mahesh Banavar:
A Hybrid Deep Learning Model for Robust Biometric Authentication from Low-Frame-Rate PPG Signals. - Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang:
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training. - Lei Li, Jian-Guo Liu, Yuliang Wang:
Relative entropy estimate and geometric ergodicity for implicit Langevin Monte Carlo. - Kailun Ji, Xiaoyu Hu, Xinyu Zhang, Jun Chen:
An LLM-based Framework for Human-Swarm Teaming Cognition in Disaster Search and Rescue. - Ayaan Bedi, Karoliina Lehtinen:
Explorability in Pushdown Automata. - Zenan Chen, Ruijiang Gao, Yingzhi Liang:
Revealing AI Reasoning Increases Trust but Crowds Out Unique Human Knowledge. - Kyongsik Yun, David Bayard, Gerik Kubiak, Austin Owens, Andrew Johnson, Ryan Johnson, Dan Scharf, Thomas Lu:
Enhancing Fault-Tolerant Space Computing: Guidance Navigation and Control (GNC) and Landing Vision System (LVS) Implementations on Next-Gen Multi-Core Processors. - Hirohane Takagi, Gouki Minegishi, Shota Kizawa, Issey Sukeda, Hitomi Yanaka:
Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models. - Sheikh A. Tahmid, Gennaro Notomista:
Necessary and Sufficient Conditions for the Optimization-Based Concurrent Execution of Learned Robotic Tasks. - Yuantian Shao, Yuanteng Chen, Peisong Wang, Jianlin Yu, Jing Lin, Yiwu Yao, Zhihui Wei, Jian Cheng:
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization. - Zhengran Zeng, Yixin Li, Rui Xie, Wei Ye, Shikun Zhang:
Benchmarking and Studying the LLM-based Agent System in End-to-End Software Development. - Shreya Havaldar, Helen Jin, Chaehyeon Kim, Anton Xue, Weiqiu You, Marco Gatti, Bhuvnesh Jain, Helen Qu, Daniel A. Hashimoto, Amin Madani, Rajat Deo, Sameed Ahmed M. Khatana, Gary E. Weissman, Lyle H. Ungar, Eric Wong:
T-FIX: Text-Based Explanations with Features Interpretable to eXperts. - Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Xiaojie Yuan:
Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering. - Ananya Sutradhar, Suryansh Gupta, Ravishankar Krishnaswamy, Haiyang Xu, Aseem Rastogi, Gopal Srinivasa:
Learning Filter-Aware Distance Metrics for Nearest Neighbor Search with Multiple Filters. - Muneer Ahmad, Samuel Ibor Ubi:
Two Decades of Research at the University of Lagos (2004-2023): A Scientometric Analysis of Productivity, Collaboration, and Impact. - Hao Li, Haotian Chen, Ruoyuan Gong, Juanjuan Wang, Hao Jiang:
Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents. - Spela Vintar, Jan Jona Javorsek:
The truth is no diaper: Human and AI-generated associations to emotional words. - Zehui Feng, Chenqi Zhang, Mingru Wang, Minuo Wei, Shiwei Cheng, Cuntai Guan, Ting Han:
Unveiling Deep Semantic Uncertainty Perception for Language-Anchored Multi-modal Vision-Brain Alignment. - Eva Prakash, Maayane Attias, Pierre J. Chambon, Justin Xu, Steven Q. H. Truong, Jean-Benoit Delbrouck, Tessa Sundaram Cook, Curtis Langlotz:
Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods. - Xiaolu Chen, Yong Liao:
Caption Injection for Optimization in Generative Search Engine. - Kyrie Zhixuan Zhou, Justin Eric Chen, Xiang Zheng, Yaoyao Qian, Yunpeng Xiao, Kai Shu:
"Everyone Else Does It": The Rise of Preprinting Culture in Computing Disciplines. - M. Sadik Batcha, S. Roselin Jahina, Muneer Ahmad:
Publication Trend in DESIDOC Journal of Library and Information Technology during 2013-2017: A Scientometric Approach. - Abu Hanif Muhammad Syarubany:
Adversarial and Score-Based CT Denoising: CycleGAN vs Noise2Score. - Nishchal Sapkota, Haoyan Shi, Yejia Zhang, Xianshi Ma, Bofang Zheng, Danny Z. Chen:
When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation. - Qingfeng Chen, Haojin Zeng, Jingyi Jie, Shichao Zhang, Debo Cheng:
DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection. - Ge Zhang, Rohan Deepak Ajwani, Tony Zheng, Hongjian Gu, Yaochen Hu, Wei Guo, Mark Coates, Yingxue Zhang:
E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce. - Pranav Joshi, Daniel McMorrow, Yihan Zhang, Amitalok J. Budkuley, Sidharth Jaggi:
Efficient and rate-optimal list-decoding in the presence of minimal feedback: Weldon and Slepian-Wolf in sheep's clothing. - Brigitte A. Mora-Reyes, Jennifer A. Drewyor, Abel A. Reyes Angulo:
Advancing Equitable AI: Evaluating Cultural Expressiveness in LLMs for Latin American Contexts. - Yang Xu, Peiyao Liu, Shuwei Chen, Jun Liu:
An Automated Theorem Generator with Theoretical Foundation Based on Rectangular Standard Contradiction. - Yuanning Cui, Zequn Sun, Wei Hu, Zhangjie Fu:
KGFR: A Foundation Retriever for Generalized Knowledge Graph Question Answering. - Hyung Jong Na, Wonho Song, Seungyong Han, Donghyeon Jo, Sejin Myung, Hyungjoon Kim:
KoTaP: A Panel Dataset for Corporate Tax Avoidance, Performance, and Governance in Korea. - Xing Gao, Dazhong Rong, Qinming He:
Cross-Modal Alignment between Visual Stimuli and Neural Responses in the Visual Cortex. - Moses Charikar, Chirag Pabbaraju, Ambuj Tewari:
A Characterization of List Language Identification in the Limit. - Chao Guo, Jiahe Xu, Moshe Zukerman:
Disaggregated Architectures and the Redesign of Data Center Ecosystems: Scheduling, Pooling, and Infrastructure Trade-offs. - Michael J. Heron, Pauline Belford, Klara Aune:
The Psychogeography of Imaginary Places. - Chengu Wang:
Depth-13 Sorting Networks for 28 Channels. - Wenmo Qiu, Saurabh Srivastava:
Batch Prompting Suppresses Overthinking Reasoning Under Constraint: How Batch Prompting Suppresses Overthinking in Reasoning Models. - Yanbo Pang, Qingkai Li, Mingguo Zhao:
CBMC-V3: A CNS-inspired Control Framework Towards Manipulation Agility with SNN. - Biao Liu, Yuanzhi Liang:
SpatialLock: Precise Spatial Control in Text-to-Image Synthesis. - Paul Badu Yakubu, Lesther Santana, Mohamed Rahouti, Yufeng Xin, Abdellah Chehri, Mohammed Aledhari:
Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems. - Ruksit Rojpaisarnkit, Youmei Fan, Kenichi Matsumoto, Raula Gaikovina Kula:
How Natural Language Proficiency Shapes GenAI Code for Software Engineering Tasks. - Yunghee Lee, Byeonghyun Pak, Junwha Hong, Hoseong Kim:
Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration. - Xinyuan Li, Murong Xu, Wenbiao Tao, Hanlun Zhu, Yike Zhao, Jipeng Zhang, Yunshi Lan:
RIDE: Difficulty Evolving Perturbation with Item Response Theory for Mathematical Reasoning. - Tengjie Li, Shikui Tu, Lei Xu:
Text to Sketch Generation with Multi-Styles. - Giorgio Morales, John W. Sheppard:
Decomposable Neuro Symbolic Regression. - Isaac M. Hair, Amit Sahai:
SVPp is NP-Hard for all p > 2, Even to Approximate Within a Factor of 2{log1-ϵ n. - Venkata Manikanta Desu, Syed Fawaz Ali:
Automated Tennis Player and Ball Tracking with Court Keypoints Detection (Hawk Eye System). - Shengyu Tang, Zeyuan Lu, Jiazhi Dong, Changdong Yu, Xiaoyu Wang, Yaohui Lyu, Weihao Xia:
DMSORT: An efficient parallel maritime multi-object tracking architecture for unmanned vessel platforms. - Artemis Chaleplioglou, Efstathia Selinopoulou, Konstantinos Kyprianos, Alexandros Koulouris:
Awakening Sleeping Beauties from articles on mRNA vaccines against COVID-19. - Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi:
BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning. - Hongbin Zhang, Shihao Gao, Yang Liu, Mingjie Xing, Yanjun Wu, Chen Zhao:
Exploring the Feasibility of End-to-End Large Language Model as a Compiler. - Miguel E. Andres, Vadim Fedorov, Rida Sadek, Enric Spagnolo-Arrizabalaga, Nadescha Trudel:
Testing the Testers: Human-Driven Quality Assessment of Voice AI Testing Platforms. - Chen Yuan, Ruiqi Zhu:
List Decoding of Folded Reed-Solomon Codes Over Galois Ring. - Neil Na, Chih-Hao Cheng, Shou-Chen Hsu, Che-Fu Liang, Chung-Chih Lin, Nathaniel Y. Na, Andrew I. Shieh, Erik Chen, Haisheng Rong, Richard A. Soref:
Implementation of transformer-based LLMs with large-scale optoelectronic neurons on a CMOS image sensor platform. - Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang:
Learning from Online Videos at Inference Time for Computer-Use Agents. - Dazhong Chen, Yi-Cheng Lin, Yuchen Huang, Ziwei Gong, Di Jiang, Zeying Xie, Yi R. Fung:
CantoASR: Prosody-Aware ASR-LALM Collaboration for Low-Resource Cantonese. - Zheng Li, Weiyan Wang, Ruiyuan Li, Chao Chen, Xianlei Long, Linjiang Zheng, Quanqing Xu, Chuanhui Yang:
A High-Throughput GPU Framework for Adaptive Lossless Compression of Floating-Point Data. - Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Yinjie Xie, Chenghao Gu, Atsushi Shimada, Shin'ichi Konomi:
Scaffolding Metacognition in Programming Education: Understanding Student-AI Interactions and Design Implications. - Jiaming Zhang, Yujie Yang, Haoning Wang, Liping Zhang, Shengbo Eben Li:
Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning. - Xiaobo Zhao, Daniel E. Lucani:
EntroGD: Efficient Compression and Accurate Direct Analytics on Compressed Data. - Fahim Ahmed, Md Mubtasim Ahasan, Jahir Sadik Monon, Muntasir Wahed, M. Ashraful Amin, A. K. M. Mahbubur Rahman, Amin Ahsan Ali:
BAPPA: Benchmarking Agents, Plans, and Pipelines for Automated Text-to-SQL Generation. - Olav Finne Praesteng Larsen, Massimiliano Ruocco, Michail Spitieris, Abdulmajid Murad, Martina Ragosta:
Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories. - Asma Z. Yamani, Malak Baslyman, Moataz Ahmed:
Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment. - Anzhuo Xie, Wei-Chen Chang:
Deep Learning Approach for Clinical Risk Identification Using Transformer Modeling of Heterogeneous EHR Data. - Laurits Fredsgaard, Mikkel N. Schmidt:
On Joint Regularization and Calibration in Deep Ensembles. - Suranjan Goswami, Abhinav Ravi, Raja Kolla, Ali Faraz, Shaharukh Khan, Akash, Chandra Khatri, Shubham Agarwal:
Seeing Straight: Document Orientation Detection for Efficient OCR. - Xiaokai Wang, Shaoyuan Huang, Yuting Li, Xiaofei Wang:
ScaleDL: Towards Scalable and Efficient Runtime Prediction for Distributed Deep Learning Workloads. - Rui Liu, Runsheng Zhang, Shixiao Wang:
Graph Neural Networks for User Satisfaction Classification in Human-Computer Interaction. - Fatemehzahra Darzi, Rodrigo Escobar Díaz Guerrero, Thomas Bocklitz:
Systematic Evaluation of Preprocessing Techniques for Accurate Image Registration in Digital Pathology. - Mashrur Rahman, Mantaqa Abedin, Monowar Zamil Abir, Faizul Islam Ansari, Adib Reza, Farig Yousuf Sadeque, Niloy Farhan:
Transforming Mentorship: An AI Powered Chatbot Approach to University Guidance. - Maryam Tariq, Omar Alhussein, Raneem Abdelraheem, Abdullah Quran, Georges Kaddoum, Sami Muhaidat:
Hybrid Quantum-Classical Detection for RIS-Assisted SC-FDE via Grover Adaptive Search. - Claire Yang, Maya Cakmak, Max Kleiman-Weiner:
When Empowerment Disempowers. - Oshando Johnson, Alexandra Fomina, Ranjith Krishnamurthy, Vaibhav Chaudhari, Rohith Kumar Shanmuganathan, Eric Bodden:
Explaining Software Vulnerabilities with Large Language Models. - Yizhen Yin, Dapeng Feng, Hongbo Chen, Yuhua Qi:
PUL-SLAM: Path-Uncertainty Co-Optimization with Lightweight Stagnation Detection for Efficient Robotic Exploration. - Christos Tranoris:
GITER: A Git-Based Declarative Exchange Model Using Kubernetes-Style Custom Resources. - Leszek Sliwko:
A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing. - Mohammed Musthafa Rafi, Adarsh Krishnamurthy, Aditya Balu:
Trustworthy LLM-Mediated Communication: Evaluating Information Fidelity in LLM as a Communicator (LAAC) Framework in Multiple Application Domains. - Josef Mayr, Anna Reithmeir, Maxime Di Folco, Julia A. Schnabel:
Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification. - Hanmo Chen, Chenghao Xu, Jiexi Yan, Cheng Deng:
AStF: Motion Style Transfer via Adaptive Statistics Fusor. - Nicolò Pagan, Petter Törnberg, Christopher A. Bail, Anikó Hannák, Christopher Barrie:
Computational Turing Test Reveals Systematic Differences Between Human and AI Language. - Andrew R. Winters, David A. Kopriva, Jan Nordström:
Numerical boundary flux functions that give provable bounds for nonlinear initial boundary value problems with open boundaries. - Shenglin Wang, Mingtong Dai, Jingxuan Su, Lingbo Liu, Chunjie Chen, Xinyu Wu, Liang Lin:
GraspView: Active Perception Scoring and Best-View Optimization for Robotic Grasping in Cluttered Environments. - Matteo Mio:
Compact Quantitative Theories of Convex Algebras. - Michal Karp, Anna Kubaszewska, Magdalena Król, Robert Król, Aleksander Smywinski-Pohl, Mateusz Szymanski, Witold Wydmanski:
LLM-as-a-Judge is Bad, Based on AI Attempting the Exam Qualifying for the Member of the Polish National Board of Appeal. - Peter Stockinger:
From data to corpus: semiotic and documentary issues in audiovisual archives. - Yuantian Shao, Peisong Wang, Yuanteng Chen, Chang Xu, Zhihui Wei, Jian Cheng:
Block Rotation is All You Need for MXFP4 Quantization. - Hongwei Yao, Yun Xia, Shuo Shao, Haoran Shi, Tong Qiao, Cong Wang:
Black-Box Guardrail Reverse-engineering Attack. - Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura:
The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms. - Mingzhi Lin, Teng Huang, Han Ding, Cui Zhao, Fei Wang, Ge Wang, Wei Xi:
Active Domain Adaptation for mmWave-based HAR via Renyi Entropy-based Uncertainty Estimation. - Alan Seroul, Théo Fagnoni, Inès Adnani, Dana O. Mohamed, Phillip Kingston:
Opus: A Quantitative Framework for Workflow Evaluation. - Carl Kugblenu, Petri Vuorimaa:
Coordination-Free Lane Partitioning for Convergent ANN Search. - Liran Cohen, Yaniv Nemcovesky, Avi Mendelson:
REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs. - Alex Fang, Thomas Voice, Ruoming Pang, Ludwig Schmidt, Tom Gunter:
Reusing Pre-Training Data at Test Time is a Compute Multiplier. - Zhengru Fang, Yu Guo, Jingjing Wang, Yuang Zhang, Haonan An, Yinhai Wang, Yuguang Fang:
Shared Spatial Memory Through Predictive Coding. - Zefeng Li, Ning Yang:
Denoised Recommendation Model with Collaborative Signal Decoupling. - Rasmus Møller-Larsen, Adam Izdebski, Jan Olszewski, Pankhil Gawade, Michal Kmicikiewicz, Wojciech Zarzecki, Ewa Szczurek:
seqme: a Python library for evaluating biological sequence design. - Irene Ferfoglia, Simone Silvetti, Gaia Saveri, Laura Nenzi, Luca Bortolussi:
Guided by Stars: Interpretable Concept Learning Over Time Series via Temporal Logic Semantics. - Sander De Witte, Tom Lefebvre, Thomas Neve, András Retzler, Guillaume Crevecoeur:
Differential Flatness of Quasi-Static Slider-Pusher Models with Applications in Control. - Allie Tran, Luca Rossetto:
On the Brittleness of CLIP Text Encoders. - Salma Mekaoui, Hiba Sofyan, Imane Amaaz, Imane Benchrif, Arsalane Zarghili, Ilham Chaker, Nikola S. Nikolov:
Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models. - Marco Iannotta, Yuxuan Yang, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov:
Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies. - Jinfeng Liang, Haocheng Guo, Ximin Lyu:
Design and Control of a Coaxial Dual-rotor Reconfigurable Tailsitter UAV Based on Swashplateless Mechanism. - Marawan Elbatel, Anbang Wang, Keyuan Liu, Kaouther Mouheb, Enrique Almar-Munoz, Lizhuo Lin, Yanqi Yang, Karim Lekadir, Xiaomeng Li:
MedSapiens: Taking a Pose to Rethink Medical Imaging Landmark Detection. - Kun Yang, Zikang Chen, Yanmeng Wang, Zhigen Li:
SSPO: Subsentence-level Policy Optimization. - Balagopal Komarath, Anant Kumar, Akash Pareek:
Counting Patterns in Degenerate Graphs in Constant Space. - Claudio Giusti, Luca Guarnera, Sebastiano Battiato:
Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery. - Ming Liu:
A Parallel Region-Adaptive Differential Privacy Framework for Image Pixelization. - Eric Mörth, Morgan L. Turner, Cydney Nielsen, Xianhao Carton Liu, Mark S. Keller, Lisa Choy, John Conroy, Tabassum Kakar, Clarence Yapp, Alex Wong, Peter K. Sorger, Liam McLaughlin, Sanjay Jain, Johanna Beyer, Hanspeter Pfister, Chen Zhu-Tian, Nils Gehlenborg:
Vitessce Link: A Mixed Reality and 2D Display Hybrid Approach for Visual Analysis of 3D Tissue Maps. - Alessandra Aimi, Giulia Di Credico, Heiko Gimperlein, Chiara Guardasoni:
A space-time adaptive boundary element method for the wave equation. - Jiahui Wu, Chengjie Lu, Aitor Arrieta, Shaukat Ali:
A Tool for Benchmarking Large Language Models' Robustness in Assessing the Realism of Driving Scenarios. - Iker Martín-Álvarez, José Ignacio Aliaga, Maribel Castillo, Sergio Iserte:
Parallel Spawning Strategies for Dynamic-Aware MPI Applications. - Yujie Yang, Shuang Li, Jun Ye, Neng Dong, Fan Li, Huafeng Li:
DINOv2 Driven Gait Representation Learning for Video-Based Visible-Infrared Person Re-identification. - Shiwei Ren, Tianci Wen, Yongchun Fang, Biao Lu:
FastGS: Training 3D Gaussian Splatting in 100 Seconds. - Zhiyuan Zeng, Jiashuo Liu, Zhangyue Yin, Ge Zhang, Wenhao Huang, Xipeng Qiu:
RLoop: An Self-Improving Framework for Reinforcement Learning with Iterative Policy Initialization. - Matteo Cercola, Valeria Capretti, Simone Formentin:
Efficient Reinforcement Learning from Human Feedback via Bayesian Preference Inference. - Leire Benito-Del-Valle, Artzai Picón, Daniel Mugica, Manuel Ramos, Eva Portillo, Javier Romero, Carlos Javier Jimenez, Ramón Navarra-Mestre:
Vision Foundation Models in Agriculture: Toward Domain-Specific Adaptation for Weed Herbicide Trials Assessment. - Jovana Kovacevic, Felix Langner, Erfan Tajalli-Ardekani, Marvin Dorn, Simon Waczowicz, Ralf Mikut, Jörg Matthes, Hüseyin K. Çakmak, Veit Hagenmeyer:
ComEMS4Build: Comfort-Oriented Energy Management System for Residential Buildings using Hydrogen for Seasonal Storage. - Robin Spanier, Thorsten Hoeser, Claudia Kuenzer:
Deep learning-based object detection of offshore platforms on Sentinel-1 Imagery and the impact of synthetic training data. - Jian Mu, Chaoyun Zhang, Chiming Ni, Lu Wang, Bo Qiao, Kartik Mathur, Qianhui Wu, Yuhang Xie, Xiaojun Ma, Mengyu Zhou, Si Qin, Liqun Li, Yu Kang, Minghua Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
GUI-360\°: A Comprehensive Dataset and Benchmark for Computer-Using Agents. - Christoph Grüne, Femke Pfaue:
A Compendium of Reductions: reductions.network. - Michael Ludkovski, Changgen Xie, Zimu Zhu:
DeepPAAC: A New Deep Galerkin Method for Principal-Agent Problems. - Jacob Lysnæs-Larsen, Marte Eggen, Inga Strümke:
Probing the Probes: Methods and Metrics for Concept Alignment. - Tim Beyer, Jonas Dornbusch, Jakob Steimle, Moritz Ladenburger, Leo Schwinn, Stephan Günnemann:
AdversariaLLM: A Unified and Modular Toolbox for LLM Robustness Research. - Xiangjun Zhang, Litong Gong, Yinglin Zheng, Yansong Liu, Wentao Jiang, Mingyi Xu, Biao Wang, Tiezheng Ge, Ming Zeng:
RISE-T2V: Rephrasing and Injecting Semantics with LLM for Expansive Text-to-Video Generation. - Kuankuan Sima, Longbin Tang, Haozhe Ma, Lin Zhao:
MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments. - Yuanpeng Zhang, Xing Hu, Xi Chen, Zhihang Yuan, Cong Li, Jingchen Zhu, Zhao Wang, Chenguang Zhang, Xin Si, Wei Gao, Qiang Wu, Runsheng Wang, Guangyu Sun:
AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM. - Jiahao Zhao, Luxin Xu, Minghuan Tan, Lichao Zhang, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang:
RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation. - Christian Portilla, Arviandy G. Aribowo, Ramachandran Anantharaman, César A. Gómez-Pérez, Leyla Özkan:
Data-Driven Modeling of Photosynthesis Regulation Under Oscillating Light Condition - Part I: In-Silico Exploration. - Antti Koskela, Tejas D. Kulkarni, Laith Zumot:
Differentially Private In-Context Learning with Nearest Neighbor Search. - Federico Pirola, Fabio Stella, Marco Grzegorczyk:
LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care. - Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez:
Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography. - Nick Oh, Fernand Gobet:
Monitor-Generate-Verify (MGV): Formalising Metacognitive Theory for Language Model Reasoning. - Themistoklis Haris, Fabian Spaeh, Spyros Dragazis, Charalampos E. Tsourakakis:
Estimating Hitting Times Locally At Scale. - Muhammad Annas Shaikh, Hamza Zaman, Arbaz Asif:
Comparative Study of CNN Architectures for Binary Classification of Horses and Motorcycles in the VOC 2008 Dataset. - Kuowen Chen, Nicole Wein, Yiran Zhang:
A Polynomial-Time Algorithm for the Next-to-Shortest Path Problem on Positively Weighted Directed Graphs. - Sanjay Kumar, Tim Brophy, Eoin Martino Grua, Ganesh Sistu, Valentina Donzella, Ciaran Eising:
Evaluating the Impact of Weather-Induced Sensor Occlusion on BEVFusion for 3D Object Detection. - Puneet Mishra, Martijntje Vollebregt, Yizhou Ma, Maria Font-i-Furnols:
A MATLAB tutorial on deep feature extraction combined with chemometrics for analytical applications. - Amir Molzam Sharifloo, Maedeh Heydari, Parsa Kazerooni, Daniel Maninger, Mira Mezini:
Where Do LLMs Still Struggle? An In-Depth Analysis of Code Generation Benchmarks. - Maëlic Neau, Zoe Falomir, Paulo E. Santos, Anne-Gwenn Bosser, Cédric Buche:
GraSP-VLA: Graph-based Symbolic Action Representation for Long-Horizon Planning with VLA Policies. - Weiyan Shi, Kenny Tsu Wei Choo:
Towards Aligning Multimodal LLMs with Human Experts: A Focus on Parent-Child Interaction. - Renfeng Peng, Chengkai Zhu, Bin Gao, Xin Wang, Ya-xiang Yuan:
Normalized tensor train decomposition. - Dennis Hendriks, Michel A. Reniers, Wan J. Fokkink, Wytse Oortwijn:
Overview and Performance Evaluation of Supervisory Controller Synthesis with Eclipse ESCET v4.0. - Anna Mészáros, Javier Alonso-Mora, Jens Kober:
Studying the Effect of Explicit Interaction Representations on Learning Scene-level Distributions of Human Trajectories. - Ali Boudaghi, Hadi Zare:
MusRec: Zero-Shot Text-to-Music Editing via Rectified Flow and Diffusion Transformers. - Dexin Wang, Faliang Chang, Chunsheng Liu:
ForeRobo: Unlocking Infinite Simulation Data for 3D Goal-driven Robotic Manipulation. - Yingping Yang, Guangtao You, Jiayi Chen, Jiazhou Chen:
HPC-Vis: A Visual Analytic System for Interactive Exploration of Historical Painter Cohorts. - Itbaan Safwan, Muhammad Annas Shaikh, Muhammad Haaris, Ramail Khan, Muhammad Atif Tahir:
Multi-Task Learning for Visually Grounded Reasoning in Gastrointestinal VQA. - Chang Liu, Juan Li, Sheng Zhang, Chang Liu, Jie Li, Xu Zhang:
BoRe-Depth: Self-supervised Monocular Depth Estimation with Boundary Refinement for Embedded Systems. - Kristóf Bérczi, Vasilis Livanos, José A. Soto, Victor Verdugo:
Free-order secretary for two-sided independence systems. - Chanwoo Park, Ziyang Chen, Asuman E. Ozdaglar, Kaiqing Zhang:
Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach. - Ke Du, Yimin Peng, Chao Gao, Fan Zhou, Siqiao Xue:
DORAEMON: A Unified Library for Visual Object Modeling and Representation Learning at Scale. - Subeen Park, Joowang Kim, Hakyung Lee, Sunjae Yoo, Kyungwoo Song:
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness. - Athanasios C. Antoulas, Ion Victor Gosea, Charles Poussot-Vassal:
The Loewner framework applied to Zolotarev sign and ratio problems. - Mohammad Amin Ghanizadeh, Mohammad Javad Dousti:
Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning. - Giacomo Zonneveld, Giulia Rafaiani, Massimo Battaglioni, Marco Baldi:
Data Certification Strategies for Blockchain-based Traceability Systems. - Jianfeng Lu, Xuda Ye, Zhennan Zhou:
Mean square error analysis of stochastic gradient and variance-reduced sampling algorithms. - Tim Tomov, Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann:
The Illusion of Certainty: Uncertainty quantification for LLMs fails under ambiguity. - Yueyang Weng, Xiaopeng Zhang, Yongjin Mu, Yingcong Zhu, Yanjie Li, Qi Liu:
Temporal Action Selection for Action Chunking. - Jayadeva, Naman Dwivedi, Hari Krishnan, N. M. Anoop Krishnan:
On the Equivalence of Regression and Classification. - Riley Fisher, Fruzsina Agocs, Adrianna Gillman:
An efficient boundary integral equation solution technique for solving aperiodic scattering problems from two-dimensional, periodic boundaries. - Alan de Aguiar, Michaella Pereira Andrade, Charles Morphy D. Santos, João Paulo Gois:
HideAndSeg: an AI-based tool with automated prompting for octopus segmentation in natural habitats. - Hao He, Courtney Miller, Shyam Agarwal, Christian Kästner, Bogdan Vasilescu:
Speed at the Cost of Quality? The Impact of LLM Agent Assistance on Software Development. - Lars Bungum, Charles Yijia Huang, Abeer Kashar:
If I Could Turn Back Time: Temporal Reframing as a Historical Reasoning Task for LLMs. - Patrik Valábek, Michaela Horváthová, Martin Klauco:
Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit. - Anisha Garg, Ganesh Venkatesh:
The Peril of Preference: Why GRPO fails on Ordinal Rewards. - Pedro Pereira, José Gouveia, João Vitorino, Eva Maia, Isabel Praça:
Adversarially Robust and Interpretable Magecart Malware Detection. - Syeda Sitara Wishal Fatima, Afshin Rahimi:
ForecastGAN: A Decomposition-Based Adversarial Framework for Multi-Horizon Time Series Forecasting. - Yaniv Ohayon, Ofir Itzhak Shahar, Ohad Ben-Shahar:
Solving Convex Partition Visual Jigsaw Puzzles. - Patrik Valábek, Marek Wadinger, Michal Kvasnica, Martin Klauco:
Deep Dictionary-Free Method for Identifying Linear Model of Nonlinear System with Input Delay. - Obada Kraishan:
Launch-Day Diffusion: Tracking Hacker News Impact on GitHub Stars for AI Tools. - Hao Zhu, Jasper Hoffmann, Baohe Zhang, Joschka Boedecker:
Fitting Reinforcement Learning Model to Behavioral Data under Bandits. - Xinwen Zhang, Hongchang Gao:
Federated Stochastic Minimax Optimization under Heavy-Tailed Noises. - Runqi Qiao, Qiuna Tan, Minghan Yang, Guanting Dong, Peiqing Yang, Shiqiang Lang, Enhui Wan, Xiaowan Wang, Yida Xu, Lan Yang, Chong Sun, Chen Li, Honggang Zhang:
V-Thinker: Interactive Thinking with Images. - Giorgio Palma, Andrea Serani, Matteo Diez:
Data-driven uncertainty-aware seakeeping prediction of the Delft 372 catamaran using ensemble Hankel dynamic mode decomposition. - Carnot Braun, Rafael O. Jarczewski, Gabriel U. Talasso, Leandro A. Villas, Allan Mariano de Souza:
Beyond Shortest Path: Agentic Vehicular Routing with Semantic Context. - Abheek Ghosh, Tzeh Yuan Neoh, Nicholas Teh, Giannis Tyrovolas:
Fraud-Proof Revenue Division on Subscription Platforms. - Dennis Thumm, Luis Ontaneda Mijares:
Towards Causal Market Simulators. - Amin Hashemi-Zadeh, Nima Tashakor, Sandun Hettiarachchi, Stefan M. Goetz:
AI-Driven Phase-Shifted Carrier Optimization for Cascaded Bridge Converters, Modular Multilevel Converters, and Reconfigurable Batteries. - Ali Bemani, Nassar Ksairi, Marios Kountouris:
Affine Frequency Division Multiplexing: From Communication to Sensing. - Evgenios Gkritsis, Constantinos Patsakis, George Stergiopoulos:
Exploiting Data Structures for Bypassing and Crashing Anti-Malware Solutions via Telemetry Complexity Attacks. - Alberto Cattaneo, Carlo Luschi, Daniel Justus:
Ground-Truth Subgraphs for Better Training and Evaluation of Knowledge Graph Augmented LLMs. - Wenwen Li, Sizhe Wang, Hyunho Lee, Chenyan Lu, Sujit Roy, Rahul Ramachandran, Chia-Yu Hsu:
Landslide Hazard Mapping with Geospatial Foundation Models: Geographical Generalizability, Data Scarcity, and Band Adaptability. - Fabian Schmidt, Seyedehmoniba Ravan, Vladimir Vlassov:
Probabilistic Textual Time Series Depression Detection. - Rongxiang Wang, Kangyuan Shu, Felix Xiaozhu Lin:
Enabling Dynamic Sparsity in Quantized LLM Inference. - Hyo Jin Do, Zahra Ashktorab, Jasmina Gajcin, Erik Miehling, Martín Santillán Cooper, Qian Pan, Elizabeth M. Daly, Werner Geyer:
Generate, Evaluate, Iterate: Synthetic Data for Human-in-the-Loop Refinement of LLM Judges. - Surapon Nonesung, Teetouch Jaknamon, Sirinya Chaiophat, Natapong Nitarach, Chanakan Wittayasakpan, Warit Sirichotedumrong, Adisai Na-Thalang, Kunat Pipatanakul:
ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai. - Lars Krupp, Daniel Geißler, Vishal Banwari, Paul Lukowicz, Jakob Karolus:
Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption through Empirical and Theoretical Analysis. - Tsubasa Harada, Yasushi Kawase, Hanna Sumita:
Online Algorithms for Repeated Optimal Stopping: Achieving Both Competitive Ratio and Regret Bounds. - Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle:
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training. - Wayne Chi, Valerie Chen, Ryan Shar, Aditya Mittal, Jenny Liang, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica, Graham Neubig, Ameet Talwalkar, Chris Donahue:
EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits. - Jaime Banks:
Perceptions of AI Bad Behavior: Variations on Discordant Non-Performance. - Yameng Zhu, Weibing Deng, Ran Bi:
A Two-stage Adaptive Lifting PINN Framework for Solving Viscous Approximations to Hyperbolic Conservation Laws. - Nikhil Abhyankar, Purvi Chaurasia, Sanchit Kabra, Ananya Srivastava, Vivek Gupta, Chandan K. Reddy:
RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables. - Alper Kalle, Théo Rudkiewicz, Mohamed Ouerfelli, Mohamed Tamaazousti:
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks. - Cuong Huynh, Jie Cao:
OUNLP at TSAR 2025 Shared Task: Multi-Round Text Simplifier via Code Generation. - Christos-Nikolaos Zacharopoulos, Revekka Kyriakoglou:
Decoding Emergent Big Five Traits in Large Language Models: Temperature-Dependent Expression and Architectural Clustering. - Andrea Cera Palatsi, Samuel Martin-Gutierrez, Ana S. Cardenal, Max Pellert:
Large language models replicate and predict human cooperation across experiments in game theory. - Antonin Boisneault, Marcella Bonazzoli, Pierre Marchand, Xavier Claeys:
Spurious resonances for substructured FEM-BEM coupling. - Joshua Gao, Quoc Huy Pham, Subin Varghese, Silwal Saurav, Vedhus Hoskere:
RAGalyst: Automated Human-Aligned Agentic Evaluation for Domain-Specific RAG. - Shaolong Wu, James Blume, Geshi Yeung:
Alternative Fairness and Accuracy Optimization in Criminal Justice. - Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, Min Gwan Kim, Hangyul Yoon, Thomas Demeester, Edward Choi:
Modeling Clinical Uncertainty in Radiology Reports: from Explicit Uncertainty Markers to Implicit Reasoning Pathways. - Raunak Somani, Aswani Kumar Cherukuri:
Large Language Models for Cyber Security. - Victorita Dolean, Pierre Marchand, Axel Modave, Timothée Raynaud:
Preconditioning of GMRES for Helmholtz problems with quasimodes. - Carolyna Hepburn, Tobias Zielke, Arne Peter Raulf:
Linear Mode Connectivity under Data Shifts for Deep Ensembles of Image Classifiers. - Obed Amo, Samit Ghosh, Markus Lange-Hegermann, Bogdan Raita, Michael Pokojovy:
Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity. - Nabyl Quignon, Baptiste Chopin, Yaohui Wang, Antitza Dantcheva:
THEval. Evaluation Framework for Talking Head Video Generation. - Daniel Mayfrank, Kayra Dernek, Laura Lang, Alexander Mitsos, Manuel Dahmen:
End-to-End Reinforcement Learning of Koopman Models for eNMPC of an Air Separation Unit. - Silvia Bonomi, Giovanni Farina, Roy Friedman, Eviatar B. Procaccia, Sébastien Tixeuil:
A New Probabilistic Mobile Byzantine Failure Model for Self-Protecting Systems. - Dimitrios Anastasiou, Santiago Barbarisi, Lucy Culshaw, Jayna Patel, Evangelos B. Mazomenos, Imanol Luengo, Danail Stoyanov:
Learning from Single Timestamps: Complexity Estimation in Laparoscopic Cholecystectomy. - Amir Zur, Atticus Geiger, Ekdeep Singh Lubana, Eric J. Bigelow:
Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics. - Kaveh Eskandari Miandoab, Katharine Kowalyshyn, Kabir Pamnani, Anesu Gavhera, Vasanth Sarathy, Matthias Scheutz:
IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection. - Arkadeep Saha, Pieter van Goor, Antonio Franchi, Ravi Banavar:
Synchronous Observer Design for Landmark-Inertial SLAM with Almost-Global Convergence. - Jonas E. Katona, Emily K. de Jong, Nipun Gunawardena:
Uncertainty Quantification for Reduced-Order Surrogate Models Applied to Cloud Microphysics. - Cyril Vallez, Alexander Sternfeld, Andrei Kucharavy, Ljiljana Dolamic:
From Model to Breach: Towards Actionable LLM-Generated Vulnerabilities Reporting. - Baptiste Bonin, Maxime Heuillet, Audrey Durand:
LLM-as-a-Judge: Toward World Models for Slate Recommendation Systems. - Qing Wang, Yong Zhang:
Microservices Are Dying, A New Method for Module Division Based on Universal Interfaces. - Dhruv Deepak Agarwal, Aswani Kumar Cherukuri:
Confidential Computing for Cloud Security: Exploring Hardware based Encryption Using Trusted Execution Environments. - Tao Lin, Yilei Zhong, Yuxin Du, Jingjing Zhang, Jiting Liu, Yinxinyu Chen, Encheng Gu, Ziyan Liu, Hongyi Cai, Yanwen Zou, Lixing Zou, Zhaoye Zhou, Gen Li, Bo Zhao:
Evo-1: Lightweight Vision-Language-Action Model with Preserved Semantic Alignment. - Zihang Ding, Kun Zhang:
Optimizing Sensor Placement in Urban Storm Sewers: A Data-Driven Sparse Sensing Approach. - Divyansha Lachi, Mahmoud Mohammadi, Joe Meyer, Vinam Arora, Tom Palczewski, Eva L. Dyer:
Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning. - Mark Chen, Xi Chen, Hao Cui, William Pires, Jonah Stockwell:
Boolean function monotonicity testing requires (almost) n1/2 queries. - Sadia Sultana, Saiyma Sittul Muna, Mosammat Zannatul Samarukh, Ajwad Abrar, Tareque Mohmud Chowdhury:
BanglaMedQA and BanglaMMedBench: Evaluating Retrieval-Augmented Generation Strategies for Bangla Biomedical Question Answering. - Petr Vacek, Hartwig Anzt, Erin C. Carson, Nils Kohl, Ulrich Rüde, Yu-Hsiang Tsai:
Mixed precision multigrid with smoothing based on incomplete Cholesky factorization. - Jingqi Tong, Yurong Mou, Hangcheng Li, Mingzhe Li, Yongzhuo Yang, Ming Zhang, Qiguang Chen, Tianyi Liang, Xiaomeng Hu, Yining Zheng, Xinchi Chen, Jun Zhao, Xuanjing Huang, Xipeng Qiu:
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm. - Yixin Tao, Weiqiang Zheng:
Fisher Meets Lindahl: A Unified Duality Framework for Market Equilibrium. - Vasco V. Branco, Jandó Benedek, Lidia Pivovarova, Luís Correia, Pedro Cardoso:
ARETE: an R package for Automated REtrieval from TExt with large language models. - Balder ten Cate, Louwe Kuijer, Frank Wolter:
The Size of Interpolants in Modal Logics. - Atsuyuki Miyai, Mashiro Toyooka, Takashi Otonari, Zaiying Zhao, Kiyoharu Aizawa:
Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper. - Daniel Gomm, Cornelius Wolff, Madelon Hulsebos:
Are We Asking the Right Questions? On Ambiguity in Natural Language Queries for Tabular Data Analysis. - Soham De, Lodewijk Gelauff, Ashish Goel, Smitha Milli, Ariel Procaccia, Alice Siu:
Question the Questions: Auditing Representation in Online Deliberative Processes. - Oshri Naparstek:
Complexity as Advantage: A Regret-Based Perspective on Emergent Structure. - Shaunak Bhandarkar, James L. McClelland:
Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence. - Utkarsh U. Chavan, Prashant Trivedi, Nandyala Hemachandra:
Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems. - Chen Shi, Shaoshuai Shi, Xiaoyang Lyu, Chunyang Liu, Kehua Sheng, Bo Zhang, Li Jiang:
UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene Reconstruction. - Hampus Åström, Elin Anna Topp, Jacek Malec:
Environment Agnostic Goal-Conditioning, A Study of Reward-Free Autonomous Learning. - Yicheng Xiao, Yu Chen, Haoxuan Ma, Jiale Hong, Caorui Li, Lingxiang Wu, Haiyun Guo, Jinqiao Wang:
PixCLIP: Achieving Fine-grained Visual Language Understanding via Any-granularity Pixel-Text Alignment Learning. - Maximilian Matthé:
evomap: A Toolbox for Dynamic Mapping in Python. - Seok-Hyun Ga, Chun-Yen Chang, Sonya Martin:
Students' Acceptance of Arduino Technology Integration in Student-Led Science Inquiry: Insights from the Technology Acceptance Model. - Tushar Kataria, Shikha Dubey, Mary Bronner, Jolanta Jedrzkiewicz, Ben J. Brintz, Shireen Y. Elhabian, Beatrice S. Knudsen:
Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality. - Yutong Wen, Ke Chen, Prem Seetharaman, Oriol Nieto, Jiaqi Su, Rithesh Kumar, Minje Kim, Paris Smaragdis, Zeyu Jin, Justin Salamon:
PromptSep: Generative Audio Separation via Multimodal Prompting. - Zihao Song, Shirantha Welikala, Panos J. Antsaklis, Hai Lin:
Funnel-Based Online Recovery Control for Nonlinear Systems With Unknown Dynamics. - Kylie Cancilla, Alexander Moore, Amar Saini, Carmen Carrano:
NovisVQ: A Streaming Convolutional Neural Network for No-Reference Opinion-Unaware Frame Quality Assessment. - Stavros Mitrolaris, Subhankar Banerjee, Sennur Ulukus:
Age of Job Completion Minimization with Stable Queues. - Petr Kuznetsov, Nathan Josia Schrodt:
Resolving Conflicts with Grace: Dynamically Concurrent Universality. - Satchel Grant, Simon Jerome Han, Alexa R. Tartaglini, Christopher Potts:
Addressing divergent representations from causal interventions on neural networks. - Alberto Merino, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles:
Improving dynamic congestion isolation in data-center networks. - Hans Harder, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, Sebastian Peitz:
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems. - Alamgir Munir Qazi, John P. McCrae, Jamal Abdul Nasir:
When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection. - Stephen Ampleman, Himanshu Sharma, Sayak Mukherjee, Sonja Glavaski:
Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design. - Narjes Nourzad, Hanqing Yang, Shiyu Chen, Carlee Joe-Wong:
DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration. - Sitan Chen, Kevin Cong, Jerry Li:
Optimal Inference Schedules for Masked Diffusion Models. - Mantas Zurauskas, Tom Bu, Sanaz Alali, Beyza Kalkanli, Derek Shi, Fernando Alamos, Gauresh Pandit, Christopher Mei, Ali Behrooz, Ramin Mirjalili, Dave Stronks, Alexander Fix, Dmitri Model:
Polarization-resolved imaging improves eye tracking. - Xinlu Zhang, Yansha Deng, Toktam Mahmoodi:
TT-Prune: Joint Model Pruning and Resource Allocation for Communication-efficient Time-triggered Federated Learning. - Mohammad Atif Quamar, Mohammad Areeb:
Logit-Entropy Adaptive Stopping Heuristic for Efficient Chain-of-Thought Reasoning. - Ellis Brown, Jihan Yang, Shusheng Yang, Rob Fergus, Saining Xie:
Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts. - Huaguan Chen, Wei Han, Haofei Sun, Ning Lin, Xingtao Song, Yunfan Yang, Jie Tian, Yang Liu, Ji-Rong Wen, Xiaoye Zhang, Xueshun Shen, Hao Sun:
Nowcast3D: Reliable precipitation nowcasting via gray-box learning. - Yu Feng, Nathaniel Weir, Kaj Bostrom, Sam Bayless, Darion Cassel, Sapana Chaudhary, Benjamin Kiesl-Reiter, Huzefa Rangwala:
VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checks. - Phat Nguyen, Erfan Aasi, Shiva Sreeram, Guy Rosman, Andrew Silva, Sertac Karaman, Daniela Rus:
SAFe-Copilot: Unified Shared Autonomy Framework. - Kaifeng Zhang, Shuo Sha, Hanxiao Jiang, Matthew Loper, Hyunjong Song, Guangyan Cai, Zhuo Xu, Xiaochen Hu, Changxi Zheng, Yunzhu Li:
Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions. - Ben Sanati, Thomas L. Lee, Trevor McInroe, Aidan Scannell, Nikolay Malkin, David Abel, Amos Storkey:
Forgetting is Everywhere. - Julian D. Allagan, Dasia A. Singleton, Shanae N. Perry, Gabrielle C. Morgan, Essence A. Morgan:
Multi-Method Analysis of Mathematics Placement Assessments: Classical, Machine Learning, and Clustering Approaches. - Ellis Brown, Arijit Ray, Ranjay Krishna, Ross B. Girshick, Rob Fergus, Saining Xie:
SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding. - Shusheng Yang, Jihan Yang, Pinzhi Huang, Ellis Brown, Zihao Yang, Yue Yu, Shengbang Tong, Zihan Zheng, Yifan Xu, Muhan Wang, Daohan Lu, Rob Fergus, Yann LeCun, Li Fei-Fei, Saining Xie:
Cambrian-S: Towards Spatial Supersensing in Video. - Maximus Adrian Pace, Prithwish Dan, Chuanruo Ning, Atiksh Bhardwaj, Audrey Du, Edward Weiyi Duan, Wei-Chiu Ma, Kushal Kedia:
X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations. - Jinlai Liu, Jian Han, Bin Yan, Hui Wu, Fengda Zhu, Xing Wang, Yi Jiang, Bingyue Peng, Zehuan Yuan:
InfinityStar: Unified Spacetime AutoRegressive Modeling for Visual Generation. - Joaquin Tarraga-Moreno, Daniel Barley, Francisco J. Andujar-Munoz, Jesús Escudero-Sahuquillo, Holger Fröning, Pedro Javier García, Francisco J. Quiles, José Duato:
Scalable and Efficient Intra- and Inter-node Interconnection Networks for Post-Exascale Supercomputers and Data centers. - Yihong Sun, Xinyu Yang, Jennifer J. Sun, Bharath Hariharan:
Tracking and Understanding Object Transformations. - Qingzhou Lu, Yao Feng, Baiyu Shi, Michael Piseno, Zhenan Bao, C. Karen Liu:
GentleHumanoid: Learning Upper-body Compliance for Contact-rich Human and Object Interaction. - Rafe Loya, Andrew Hamara, Benjamin Estell, Benjamin Kilpatrick, Andrew C. Freeman:
Carousel: A High-Resolution Dataset for Multi-Target Automatic Image Cropping. - Eleni Bougioukou, Theodore Antonakopoulos:
Efficient Deployment of CNN Models on Multiple In-Memory Computing Units. - Leon Janse van Rensburg:
AI-Powered Citation Auditing: A Zero-Assumption Protocol for Systematic Reference Verification in Academic Research. - Yuchao Qin, Anjunyi Fan, Bonan Yan:
RAS: A Bit-Exact rANS Accelerator For High-Performance Neural Lossless Compression. - Daniela Guericke, Rolf van der Hulst, Asal Karimpour, Ieke Schrader, Matthias Walter:
A hybrid solution approach for the Integrated Healthcare Timetabling Competition 2024. - Pratik Poudel:
Stateful KV Cache Management for LLMs: Balancing Space, Time, Accuracy, and Positional Fidelity. - Teona Bagashvili, Tarikul Islam Papon, Subhadeep Sarkar, Manos Athanassoulis:
Eliminating the Hidden Cost of Zone Management in ZNS SSDs. - Adrita Anika, Md Messal Monem Miah:
Evaluating LLMs' Reasoning Over Ordered Procedural Steps. - Peiyu Li, Xiuxiu Tang, Si Chen, Ying Cheng, Ronald A. Metoyer, Ting Hua, Nitesh V. Chawla:
Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks. - Christofer Valencia, Alexis Llumigusín, Silvia Alvarez, Abrahan Arias, Christian Mejia-Escobar:
Automatización de Informes Geotécnicos para Macizos Rocosos con IA. - Quentin Auster, Kateryna Shapovalenko, Chuang Ma, Demaio Sun:
A Penny for Your Thoughts: Decoding Speech from Inexpensive Brain Signals. - Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang, Geyong Min:
SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection. - Zishuo Zheng, Vidhisha Balachandran, Chan Young Park, Faeze Brahman, Sachin Kumar:
Reasoning Up the Instruction Ladder for Controllable Language Models. - Jan Strich, Adeline Scharfenberg, Chris Biemann, Martin Semmann:
EncouRAGe: Evaluating RAG Local, Fast, and Reliable. - David Farr, Lynnette Hui Xian Ng, Stephen Prochaska, Iain J. Cruickshank, Jevin West:
Simulating Misinformation Vulnerabilities With Agent Personas. - K. M. Sajjadul Islam, John Fields, Praveen Madiraju:
multiMentalRoBERTa: A Fine-tuned Multiclass Classifier for Mental Health Disorder. - Haneen A. Alhomoud, Asma A. Ibrahim, Murtadha Al-Jubran, Fahad Al-Otaibi, Yazeed Al-Harbi, Daulet Toibazar, Kesen Wang, Pedro J. Moreno:
Cross-Lingual SynthDocs: A Large-Scale Synthetic Corpus for Any to Arabic OCR and Document Understanding. - Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li:
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. - Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Communication-Constrained Private Decentralized Online Personalized Mean Estimation. - Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob N. Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip H. S. Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi:
Measuring what Matters: Construct Validity in Large Language Model Benchmarks. - Tingyue Yang, Junchi Yao, Yuhui Guo, Chang Liu:
POLIS-Bench: Towards Multi-Dimensional Evaluation of LLMs for Bilingual Policy Tasks in Governmental Scenarios. - Pelin Karadal, Dilara Keküllüoglu:
Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation. - Rishi Rajesh Shah, Chen Henry Wu, Shashwat Saxena, Ziqian Zhong, Alexander Robey, Aditi Raghunathan:
Jailbreaking in the Haystack. - Hari Mohan Pandey, Anshul Gupta, Subham Sarkar, Minakshi Tomer, Schneider Johannes, Yan Gong:
GEMMA-SQL: A Novel Text-to-SQL Model Based on Large Language Models. - Wenyuan Yang, Yichen Sun, Changzheng Chen, Zhixuan Chu, Jiaheng Zhang, Yiming Li, Dacheng Tao:
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking. - Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia:
NCSAC: Effective Neural Community Search via Attribute-augmented Conductance. - Mahek Desai, Rowena Quinn, Marjan Asadinia:
SMART-WRITE: Adaptive Learning-based Write Energy Optimization for Phase Change Memory. - Dmytro Vitel, Anshuman Chhabra:
First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation. - Mingliang Hou, Yinuo Wang, Teng Guo, Zitao Liu, Wenzhou Dou, Jiaqi Zheng, Renqiang Luo, Mi Tian, Weiqi Luo:
P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models. - Yue Xun, Jiaxing Xu, Wenbo Gao, Chen Yang, Shujun Wang:
Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification. - Ha Young Kim, Jun Li, Ana Beatriz Solana, Carolin M. Pirkl, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea:
Learning to reason about rare diseases through retrieval-augmented agents. - Qianyang Li, Xingjun Zhang, Peng Tao, Shaoxun Wang, Yancheng Pan, Jia Wei:
AWEMixer: Adaptive Wavelet-Enhanced Mixer Network for Long-Term Time Series Forecasting. - Mohamadreza Akbari Pour, Mohamad Sadeq Karimi, Amir Hossein Mazloumi:
Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful life prediction. - Ali Faraz, Akash, Shaharukh Khan, Raja Kolla, Akshat Patidar, Suranjan Goswami, Abhinav Ravi, Chandra Khatri, Shubham Agarwal:
IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs. - Daniyal Ganiuly, Assel Smaiyl:
Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models. - Rucha Deshpande, Tahsin Rahman, Miguel A. Lago, Adarsh Subbaswamy, Jana G. Delfino, Ghada Zamzmi, Yee Lam Elim Thompson, Aldo Badano, Seyed Kahaki:
Knowledge-based anomaly detection for identifying network-induced shape artifacts. - Matteo Cercola, Michele Lomuscio, Dario Piga, Simone Formentin:
Regularized GLISp for sensor-guided human-in-the-loop optimization. - Zonglin Lyu, Ming Li, Xinxin Liu, Chen Chen:
CPO: Condition Preference Optimization for Controllable Image Generation. - Nikolai Ilinykh, Simon Dobnik:
Surprisal reveals diversity gaps in image captioning and different scorers change the story. - Daeun Hwang, Saebyul Park:
EMO100DB: An Open Dataset of Improvised Songs with Emotion Data. - Caelan Reed Garrett, Fabio Ramos:
ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling. - Vaibhav Singh, Eugene Belilovsky, Rahaf Aljundi:
When Data Falls Short: Grokking Below the Critical Threshold. - Dhenenjay Yadav, Rohan Sawai:
DARN: Dynamic Adaptive Regularization Networks for Efficient and Robust Foundation Model Adaptation. - Rubens Lacouture, Nathan Zhang, Ritvik Sharma, Marco Siracusa, Fredrik Kjolstad, Kunle Olukotun, Olivia Hsu:
FuseFlow: A Fusion-Centric Compilation Framework for Sparse Deep Learning on Streaming Dataflow. - Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus:
ReGen: Generative Robot Simulation via Inverse Design. - Shirin Ermis, César Aybar, Lilli Freischem, Stella Girtsou, Kyriaki-Margarita Bintsi, Emiliano Diaz Salas-Porras, Michael Eisinger, William Jones, Anna Jungbluth, Benoit Tremblay:
Global 3D Reconstruction of Clouds & Tropical Cyclones. - Liu Jiang, Zerui Bao, Shiqi Sheng, Di Zhu:
SLOFetch: Compressed-Hierarchical Instruction Prefetching for Cloud Microservices. - Ce Jin, Yael Kirkpatrick, Michal Stawarz, Virginia Vassilevska Williams:
Improved Additive Approximation Algorithms for APSP. - Zahida Kausar, Seemab Latif, Raja Khurrum Shahzad, Mehwish Fatima:
Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid. - Andrea Aspesi, Andrea Simpsi, Aaron Tognoli, Simone Mentasti, Luca Merigo, Matteo Matteucci:
EETnet: a CNN for Gaze Detection and Tracking for Smart-Eyewear. - Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang:
Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting. - Caroline Uhler, Jiaqi Zhang:
Causal Structure and Representation Learning with Biomedical Applications. - Lei Gao, Chaoyi Jiang, Hossein Entezari Zarch, Daniel Wong, Murali Annavaram:
DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing. - Mika Göös, Nathaniel Harms, Artur Riazanov, Anastasia Sofronova, Dmitry Sokolov, Weiqiang Yuan:
Pseudodeterministic Communication Complexity. - Jim James, Ben Wilson, Simon Lucey, James Hays:
3D Gaussian Point Encoders. - Matheus Farias, Wanghley Martins, H. T. Kung:
MDM: Manhattan Distance Mapping of DNN Weights for Parasitic-Resistance-Resilient Memristive Crossbars. - Chenxi Liu, Junjie Liang, Yuqi Jia, Bochuan Cao, Yang Bai, Heng Huang, Xun Chen:
Explore Data Left Behind in Reinforcement Learning for Reasoning Language Models. - Shuo Zhao, Jianxu Chen:
Data Efficiency and Transfer Robustness in Biomedical Image Segmentation: A Study of Redundancy and Forgetting with Cellpose. - Chaymae Yahyati, Ismail Lamaakal, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh:
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator. - Yushu Zhao, Zheng Wang, Minjia Zhang:
PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference. - Matthew D. Kvalheim, Eduardo D. Sontag:
Autoencoding Dynamics: Topological Limitations and Capabilities. - Raymond Fan, Bryce Sandlund, Lin Myat Ko:
Sharp Minima Can Generalize: A Loss Landscape Perspective On Data. - Shuo Zhao, Yu Zhou, Jianxu Chen:
An Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention. - Zixuan Huang, Huaidian Hou, Dmitry Berenson:
Unified Multimodal Diffusion Forcing for Forceful Manipulation. - Sebastian Ojeda, Rafael Velasquez, Nicolás Aparicio, Juanita Puentes, Paula Cárdenas, Nicolás Andrade, Gabriel González, Sergio Rincón, Carolina Muñoz-Camargo, Pablo Arbeláez:
A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification. - Chido Onyeze, David X. Lin, Siddhartha Banerjee, Éva Tardos:
Dynamic Allocation of Public Goods with Approximate Core Equilibria. - Fernanda Beigel, Dan Brockington, Paolo Crosetto, Gemma E. Derrick, Aileen Fyfe, Pablo Gómez Barreiro, Mark A. Hanson, Stefanie Haustein, Vincent Larivière, Christine Noe, Stephen Pinfield, James Wilsdon:
The Drain of Scientific Publishing. - Kosei Horikawa, Hao Li, Yutaro Kashiwa, Bram Adams, Hajimu Iida, Ahmed E. Hassan:
Agentic Refactoring: An Empirical Study of AI Coding Agents. - Luigi Caputi, Nicholas Meadows, Henri Riihimäki:
Persistent reachability homology in machine learning applications. - Sanjeev Khanna, Aaron Putterman, Junkai Song:
Optimal Parallel Basis Finding in Graphic and Related Matroids. - Tobias Fischer, Wolf Vollprecht, Bas Zalmstra, Ruben Arts, Tim de Jager, Alejandro Fontán, Adam D. Hines, Michael Milford, Silvio Traversaro, Daniel Claes, Scarlett Raine:
Pixi: Unified Software Development and Distribution for Robotics and AI. - Paola F. Antonietti, Mattia Corti, Sergio Gómez, Ilaria Perugia:
Structure-preserving local discontinuous Galerkin discretization of conformational conversion systems. - Mayank Mittal, Pascal Roth, James Tigue, Antoine Richard, Octi Zhang, Peter Du, Antonio Serrano-Muñoz, Xinjie Yao, René Zurbrügg, Nikita Rudin, Lukasz Wawrzyniak, Milad Rakhsha, Alain Denzler, Eric Heiden, Ales Borovicka, Ossama Ahmed, Iretiayo Akinola, Abrar Anwar, Mark T. Carlson, Ji Yuan Feng, Animesh Garg, Renato Gasoto, Lionel Gulich, Yijie Guo, M. Gussert, Alex Hansen, Mihir Kulkarni, Chenran Li, Wei Liu, Viktor Makoviychuk, Grzegorz Malczyk, Hammad Mazhar, Masoud Moghani, Adithyavairavan Murali, Michael Noseworthy, Alexander Poddubny, Nathan D. Ratliff, Welf Rehberg, Clemens Schwarke, Ritvik Singh, James Latham Smith, Bingjie Tang, Ruchik Thaker, Matthew Trepte, Karl Van Wyk, Fangzhou Yu, Alexander Millane, Vikram Ramasamy, Remo Steiner, Sangeeta Subramanian, Clemens Volk, CY Chen, Neel Jawale, Ashwin Varghese Kuruttukulam, Michael A. Lin, Ajay Mandlekar, Karsten Patzwaldt, John Welsh, Huihua Zhao, Fatima Anes, Jean-Francois Lafleche, Nicolas Moënne-Loccoz, Soowan Park, Rob Stepinski, Dirk Van Gelder, Chris Amevor, Jan Carius, Jumyung Chang, Anka He Chen, Pablo de Heras Ciechomski, Gilles Daviet, Mohammad Mohajerani, Julia von Muralt, Viktor Reutskyy, Michael Sauter, Simon Schirm, Eric L. Shi, Pierre Terdiman, Kenny Vilella, Tobias Widmer, Gordon Yeoman, Tiffany Chen, Sergey Grizan, Cathy Li, Lotus Li, Connor Smith, Rafael Wiltz, Kostas Alexis, Yan Chang, David Chu, Linxi "Jim" Fan, Farbod Farshidian, Ankur Handa, Spencer Huang, Marco Hutter, Yashraj Narang, Soha Pouya, Shiwei Sheng, Yuke Zhu:
Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning. - Jiwoo Shin, Byeonghu Na, Mina Kang, Wonhyeok Choi, Il-Chul Moon:
Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models. - Shubham Natraj, Bruno Sinopoli, Yiannis Kantaros:
Conformalized Non-uniform Sampling Strategies for Accelerated Sampling-based Motion Planning. - Cameron Robinson, Ganghee Jang:
Design Exploration for Protection and Cleaning of Solar Panels with Case Studies for Space Missions. - Brenda Nogueira, Meng Jiang, Nitesh V. Chawla, Nuno Moniz:
SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression. - Matthew S. Zhang, Stephen Huan, Jerry Huang, Nicholas M. Boffi, Sitan Chen, Sinho Chewi:
Sublinear iterations can suffice even for DDPMs. - Jingchen Bi, Rodrigo Mesa-Arango:
Investigating U.S. Consumer Demand for Food Products with Innovative Transportation Certificates Based on Stated Preferences and Machine Learning Approaches. - Jonathan Shaki, Jiarui Gan, Sarit Kraus:
Persuading Stable Matching. - Arthur Chen, Zuxin Liu, Jianguo Zhang, Akshara Prabhakar, Zhiwei Liu, Shelby Heinecke, Silvio Savarese, Victor Zhong, Caiming Xiong:
Grounded Test-Time Adaptation for LLM Agents. - Manuel Weiß, Lukas Baumgärtner, Roland Herzog, Stephan Schmidt:
Geometry Denoising with Preferred Normal Vectors. - Quang-Dung Nguyen, Tri-Dung Tran, Thanh-Hieu Chu, Hoang-Loc Tran, Xiangwei Cheng, Dirk Slama:
Software Defined Vehicle Code Generation: A Few-Shot Prompting Approach. - Nuno dos Santos Fernandes, Pedro Tomás, Nuno Roma, Frank Winklmeier, Patricia Conde-Muíño:
Marionette: Data Structure Description and Management for Heterogeneous Computing. - Alvaro Prat, Leo Zhang, Charlotte M. Deane, Yee Whye Teh, Garrett M. Morris:
SigmaDock: Untwisting Molecular Docking With Fragment-Based SE(3) Diffusion. - Vojtech Franc, Jakub Paplhám:
Epistemic Reject Option Prediction. - Thore Gerlach, Michael Schenk, Verena Kain:
Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning. - Reworr, Artem Petrov, Dmitrii Volkov:
GPT-5 at CTFs: Case Studies From Top-Tier Cybersecurity Events. - Kyle Fogarty, Chenyue Cai, Jing Yang, Zhilin Guo, Cengiz Öztireli:
Self-Supervised Implicit Attention Priors for Point Cloud Reconstruction. - Esha Sharma, Lauren B. Davis, Julie S. Ivy, Min Chi:
FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting. - Kate Donahue, Nicole Immorlica, Brendan Lucier:
Optimal Selection Using Algorithmic Rankings with Side Information. - Preetum Nakkiran, Arwen Bradley, Adam Golinski, Eugène Ndiaye, Michael Kirchhof, Sinead Williamson:
Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs. - Gabriel Girard, Manon Edde, Félix Dumais, Yoan David, Matthieu Dumont, Guillaume Theaud, Jean-Christophe Houde, Arnaud Boré, Maxime Descoteaux, Pierre-Marc Jodoin:
Clinical-ComBAT: a diffusion-weighted MRI harmonization method for clinical applications. - James Ndubuisi, Fernando Auat, Marta Vallejo:
Validating Vision Transformers for Otoscopy: Performance and Data-Leakage Effects. - Matthew Bozoukov, Matthew Nguyen, Shubkarman Singh, Bart Bussmann, Patrick Leask:
Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs. - Yu Bai, Yukai Miao, Dawei Wang, Li Chen, Fei Long, Rundi Zhai, Dan Li, Yanyu Ren, Tianfeng Liu, Hongtao Xie, Ce Yang, Xuhui Cai:
DMA: Online RAG Alignment with Human Feedback. - Joon Kim, Chengwei Duan, Sandip Ray:
Bit-Flipping Attack Exploration and Countermeasure in 5G Network. - Di Chen, Jia Li, Michael Zhang:
Self-Interest and Systemic Benefits: Emergence of Collective Rationality in Mixed Autonomy Traffic Through Deep Reinforcement Learning. - Ahmad Elallaf, Nathan Jacobs, Xinyue Ye, Mei Chen, Gongbo Liang:
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment. - Haris Aziz, Xinhang Lu, Simon Mackenzie, Mashbat Suzuki:
Fair Division with Indivisible Goods, Chores, and Cake. - Yule Wen, Yixin Ye, Yanzhe Zhang, Diyi Yang, Hao Zhu:
Real-Time Reasoning Agents in Evolving Environments. - Anthony Gamst, Lawrence Wilson:
Association via Entropy Reduction. - Shuvendu Roy, Hossein Hajimirsadeghi, Mengyao Zhai, Golnoosh Samei:
You Need Reasoning to Learn Reasoning: The Limitations of Label-Free RL in Weak Base Models. - Bassel Al Omari, Michael T. Matthews, Alexander Rutherford, Jakob Nicolaus Foerster:
Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale. - Lunjia Hu, Haipeng Luo, Spandan Senapati, Vatsal Sharan:
Efficient Swap Multicalibration of Elicitable Properties. - Paula Rodriguez Diaz, Kirk Bansak, Elisabeth Paulson:
A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates. - Jaehoon Lee, Sohyun Kim, Wanggeun Park, Geon Lee, Seungkyung Kim, Minyoung Lee:
SDS KoPub VDR: A Benchmark Dataset for Visual Document Retrieval in Korean Public Documents. - Hardik B. Sailor, Ai Ti Aw, Nancy F. Chen, Ying Lay Chiu, Yang Ding, Yingxu He, Ridong Jiang, Jingtao Li, Jingyi Liao, Zhuohan Liu, Yanfeng Lu, Yi Ma, Manas Gupta, Muhammad Huzaifah bin Md Shahrin, Nabilah Binte Md Johan, Nattadaporn Lertcheva, Chunlei Pan, Minh Duc Pham, Siti Maryam Binte Ahmad Subaidi, Siti Umairah Binte Mohammad Salleh, Shuo Sun, Tarun Kumar Vangani, Qiongqiong Wang, Won Cheng Yi Lewis, Jeremy Heng Meng Wong, Jinyang Wu, Huayun Zhang, Longyin Zhang, Xunlong Zou:
MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA Languages. - Shadrack T. Asiedu, Tara Aryal, Zongjie Wang, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen:
Computationally Efficient Spline-Based Modeling of DER Dynamics for Voltage Stability in Active Distribution Networks. - A. Ganapathi Rao, Sathish Krishna Anumula, Aditya Kumar Singh, Renukhadevi M, Y. Jeevan Nagendra Kumar, Tammineni Rama Tulasi:
Machine Learning Algorithms in Statistical Modelling Bridging Theory and Application. - Chandra Vamsi Krishna Alla, Harish Naidu Gaddam, Manohar Kommi:
BudgetMem: Learning Selective Memory Policies for Cost-Efficient Long-Context Processing in Language Models. - Hu Gao, Xiaoning Lei, Ying Zhang, Xichen Xu, Guannan Jiang, Lizhuang Ma:
Learning to Restore Multi-Degraded Images via Ingredient Decoupling and Task-Aware Path Adaptation. - Yu Li, Lehui Li, Qingmin Liao, Fengli Xu, Yong Li:
AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent. - Anna Kawakami, Jordan Taylor, Sarah E. Fox, Haiyi Zhu, Kenneth Holstein:
AI Failure Loops in Devalued Work: The Confluence of Overconfidence in AI and Underconfidence in Worker Expertise. - P. Vijaya Bharati, J. S. V. Siva Kumar, Sathish K. Anumula, P. Vamshi Krishna, Sangam Malla:
IoT and Predictive Maintenance in Industrial Engineering: A Data-Driven Approach. - Rethish Nair Rajendran, Sathish Krishna Anumula, Dileep Kumar Rai, Sachin Agrawal:
Zero Trust Security Model Implementation in Microservices Architectures Using Identity Federation. - Shixiong Zhao, Hideaki Takeda:
Diagnosing and Mitigating Semantic Inconsistencies in Wikidata's Classification Hierarchy. - Mahek Desai, Apoorva Rumale, Marjan Asadinia, Sherrene Bogle:
WIRE: Write Energy Reduction via Encoding in Phase Change Main Memories (PCM). - Hadi Reisizadeh, Jiajun Ruan, Yiwei Chen, Soumyadeep Pal, Sijia Liu, Mingyi Hong:
Leak@k: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding. - Zhankun Luo, Abolfazl Hashemi:
Structural Properties, Cycloid Trajectories and Non-Asymptotic Guarantees of EM Algorithm for Mixed Linear Regression. - Harshit Nainwani, Hediyeh Baban:
Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG. - Jiachen Shen, Jian Shi, Lei Fan, Chenye Wu, Dan Wang, Choong Seon Hong, Zhu Han:
Strategic Decision-Making Under Uncertainty through Bi-Level Game Theory and Distributionally Robust Optimization. - Lei Chen, Erci Xu, Yiming Sun, Shengyu Fan, Xianglong Deng, Guiming Shi, Guang Fan, Liang Kong, Yilan Zhu, Shoumeng Yan, Mingzhe Zhang:
The Future of Fully Homomorphic Encryption System: from a Storage I/O Perspective. - Haoxin Lv, Ijazul Haq, Jin Du, Jiaxin Ma, Binnian Zhu, Xiaobing Dang, Chaoan Liang, Ruxu Du, Yingjie Zhang, Muhammad Saqib:
A benchmark multimodal oro-dental dataset for large vision-language models. - Tharindu Fernando, Clinton Fookes, Sridha Sridharan:
DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Multi-Agent Adversarial Reinforcement Learning. - Hexu Zhao, Xiwen Min, Xiaoteng Liu, Moonjun Gong, Yiming Li, Ang Li, Saining Xie, Jinyang Li, Aurojit Panda:
CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting. - Wei Shao, Lingchao Zheng, Pengyu Wang, Peizhen Zheng, Jun Li, Yuwei Fan:
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model. - Christian Ikenmeyer:
On the gradient of the coefficient of the characteristic polynomial. - Maria Mahbub, Vanessa Lama, Sanjay Das, Brian Starks, Christopher Polchek, Saffell Silvers, Lauren Deck, Prasanna Balaprakash, Tirthankar Ghosal:
ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property. - Zihao Yi, Qingxuan Jiang, Ruotian Ma, Xingyu Chen, Qu Yang, Mengru Wang, Fanghua Ye, Ying Shen, Zhaopeng Tu, Xiaolong Li, Linus:
Too Good to be Bad: On the Failure of LLMs to Role-Play Villains. - Xiongri Shen, Jiaqi Wang, Yi Zhong, Zhenxi Song, Leilei Zhao, Yichen Wei, Lingyan Liang, Shuqiang Wang, Baiying Lei, Demao Deng, Zhiguo Zhang:
Pattern-Aware Diffusion Synthesis of fMRI/dMRI with Tissue and Microstructural Refinement. - Lingyu Zhang, Mitchell Wang, Boyuan Chen:
Scientific judgment drifts over time in AI ideation. - Hiroaki Hashida, Yuichi Kawamoto, Nei Kato:
Sharing Intelligent Reflecting Surfaces in Multi-Operator Communication Systems for Sustainable 6G Networks. - Jian Wang, Yixing Yong, Haixia Bi, Lijun He, Fan Li:
Learning Fourier shapes to probe the geometric world of deep neural networks. - Esha Chowdhury:
Risk Prediction of Cardiovascular Disease for Diabetic Patients with Machine Learning and Deep Learning Techniques. - Dylan Peek, Matthew P. Skerritt, Siddharth Pritam, Stephan K. Chalup:
Challenges in 3D Data Synthesis for Training Neural Networks on Topological Features. - Siyuan Li, Yifan Sun, Lei Cheng, Lewen Wang, Yang Liu, Weiqing Liu, Jianlong Li, Jiang Bian, Shikai Fang:
Less Is More: Generating Time Series with LLaMA-Style Autoregression in Simple Factorized Latent Spaces. - Xin Nie, Zhiyuan Cheng, Yuan Zhang, Chao Ji, Jiajia Wu, Yuhan Zhang, Jia Pan:
iFlyBot-VLM Technical Report. - Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang:
GSE: Evaluating Sticker Visual Semantic Similarity via a General Sticker Encoder. - Gimun Bae, Seung Jun Shin:
Scaling Up ROC-Optimizing Support Vector Machines. - Rongbin Ye, Jiaqi Chen:
Unlocking the Black Box: A Five-Dimensional Framework for Evaluating Explainable AI in Credit Risk. - Zhiqi Bu:
Deep Progressive Training: scaling up depth capacity of zero/one-layer models. - Tianxing Ding, Hongyang Liu, Yitong Yin, Can Zhou:
Tight Bounds for Sampling q-Colorings via Coupling from the Past. - Xinheng He, Yijia Zhang, Haowei Lin, Xingang Peng, Xiangzhe Kong, Mingyu Li, Jianzhu Ma:
Peptide2Mol: A Diffusion Model for Generating Small Molecules as Peptide Mimics for Targeted Protein Binding. - Mohammadreza Saeidi, Ethan Thoma, Raula Gaikovina Kula, Gema Rodríguez-Pérez:
What About Our Bug? A Study on the Responsiveness of NPM Package Maintainers. - Runsheng Ren, Jing Li, Yanxiu Li, Shixun Huang, Jun Shen, Wanqing Li, John Le, Sheng Wang:
Carbon Price Forecasting with Structural Breaks: A Comparative Study of Deep Learning Models. - Ya Wang, Guangzheng Zhu, Cungen Cao, Jingjing Li, He Li, Xin Huang:
Acquiring Common Chinese Emotional Events Using Large Language Model. - Mengjia Bai, Jingrun Chen, Keke Wu:
Uniformly accurate structure-preserving neural surrogates for radiative transfer. - Bibekananda Patra, Sandipan Bandyopadhyay:
A semi-analytical approach for computing the largest singularity-free spheres of a class of 6-6 Stewart-Gough platforms for specified orientation workspaces. - Yanru Guan, Jiahao Zhang, Zhe Feng, Tao Lin:
On the Coordination of Value-Maximizing Bidders. - Xingyuan Zhou, Peter Paik, Seyed Farokh Atashzar:
Encoding Biomechanical Energy Margin into Passivity-based Synchronization for Networked Telerobotic Systems. - Amol Harsh, Brainerd Prince, Siddharth Siddharth, Deepan Raj Prabakar Muthirayan, Kabir S. Bhalla, Esraaj Sarkar Gupta, Siddharth Sahu:
Enhancing Public Speaking Skills in Engineering Students Through AI. - Walter L. Leite, Huibin Zhang, Shibani Rana, Yide Hao, Amber D. Hatch, Lingchen Kong, Huan Kuang:
Do intelligent tutoring systems benefit K-12 students? A meta-analysis and evaluation of heterogeneity of treatment effects in the U.S. - Daniel S. Lee, Mayra S. Haedo-Cruz, Chen Jiang, Oshin Miranda, LiRong Wang:
BiPETE: A Bi-Positional Embedding Transformer Encoder for Risk Assessment of Alcohol and Substance Use Disorder with Electronic Health Records. - Hyunkyu Kim, Yeeun Yoo, Youngjun Kwak:
Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval. - Dongsu Lee, Daehee Lee, Amy Zhang:
Multi-agent Coordination via Flow Matching. - Baiye Cheng, Tianhai Liang, Suning Huang, Maanping Shao, Feihong Zhang, Botian Xu, Zhengrong Xue, Huazhe Xu:
MoE-DP: An MoE-Enhanced Diffusion Policy for Robust Long-Horizon Robotic Manipulation with Skill Decomposition and Failure Recovery. - Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti, Gauri Jagatap, Jiaxin Yuan, Vijay Kamarshi, Andrea Fanelli, Furong Huang:
Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings. - Prasoon Varshney, Makesh Narsimhan Sreedhar, Liwei Jiang, Traian Rebedea, Christopher Parisien:
Pluralistic Behavior Suite: Stress-Testing Multi-Turn Adherence to Custom Behavioral Policies. - Yawei Cai, Jiapeng Mi, Nan Ji, Haotian Rong, Yawei Zhang, Zhangti Li, Wenbin Guo, Rensong Xie:
DAFM: Dynamic Adaptive Fusion for Multi-Model Collaboration in Composed Image Retrieval. - Charles Melvin, N. Rich Nguyen:
AWARE: Evaluating PriorityFresh Caching for Offline Emergency Warning Systems. - Hala Sheta:
8bit-GPT: Exploring Human-AI Interaction on Obsolete Macintosh Operating Systems. - Xingyuan Zhou, Peter Paik, Seyed Farokh Atashzar:
Tunable Passivity Control for Centralized Multiport Networked Systems. - Zhuoling Chen, Yi Zhong, Martin Haenggi:
Cross-link RTS/CTS for MLO mm-Wave WLANs. - Dongjin Park, Hasung Yeo, Joon-Woo Lee:
OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data. - Katharina Kormann, Eric Sonnendrücker:
A dual grid geometric electromagnetic particle in cell method. - Jennifer K. Leestma, Siddharth R. Nathella, Christoph P. O. Nuesslein, Snehil Mathur, Gregory S. Sawicki, Aaron J. Young:
Epically Powerful: An open-source software and mechatronics infrastructure for wearable robotic systems. - Jing Jin, Xu Liu, Te Gao, Zhihong Shi, Yixiong Liang, Ruiqing Zheng, Hulin Kuang, Min Zeng, Shichao Kan:
Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation. - Robert Andrews, Mrinal Kumar, Shanthanu S. Rai:
Modular composition & polynomial GCD in the border of small, shallow circuits. - Zhengxuan Li, Qinhui Yang, Yiyu Zhuang, Chuan Guo, Xinxin Zuo, Xiaoxiao Long, Yao Yao, Xun Cao, Qiu Shen, Hao Zhu:
Pressure2Motion: Hierarchical Motion Synthesis from Ground Pressure with Text Guidance. - Mykyta Syromiatnikov, Victoria Ruvinskaya:
UA-Code-Bench: A Competitive Programming Benchmark for Evaluating LLM Code Generation in Ukrainian. - Xinyu Chen, Yiran Wang, Gaoyang Pang, Jiafu Hao, Chentao Yue, Luping Zhou, Yonghui Li:
Medical Referring Image Segmentation via Next-Token Mask Prediction. - Yihong Zou:
Design and Implementation of a Cloud Computing Security Assessment Model Based on Hierarchical Analysis and Fuzzy Comprehensive Evaluation. - Abimbola Agboke, Undie Felicia Nkatv:
The use of social media among library professionals and patrons: A review of literature. - Zihao Li, Yiming Zhu, Zhe Zhong, Qinyuan Ren, Yijiang Huang:
TAPOM: Task-Space Topology-Guided Motion Planning for Manipulating Elongated Object in Cluttered Environments. - Wakuto Matsumi, Riaz-ul-haque Mian:
Accelerating HDC-CNN Hybrid Models Using Custom Instructions on RISC-V GPUs. - Mingyu Sung, Hyeonmin Choe, Il-Min Kim, Sangseok Yun, Jae-Mo Kang:
No Pose Estimation? No Problem: Pose-Agnostic and Instance-Aware Test-Time Adaptation for Monocular Depth Estimation. - Yuanxiang Huangfu, Chaochao Wang, Weilei Wang:
Role-SynthCLIP: A Role Play Driven Diverse Synthetic Data Approach. - Mingyu Sheng, Jianan Fan, Dongnan Liu, Guoyan Zheng, Ron Kikinis, Weidong Cai:
SurgiATM: A Physics-Guided Plug-and-Play Model for Deep Learning-Based Smoke Removal in Laparoscopic Surgery. - Jinglin Liang, Jin Zhong, Shuangping Huang, Yunqing Hu, Huiyuan Zhang, Huifang Li, Lixin Fan, Hanlin Gu:
Order-Level Attention Similarity Across Language Models: A Latent Commonality. - Philipp Schaad, Tal Ben-Nun, Torsten Hoefler:
VEIL: Reading Control Flow Graphs Like Code. - Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie Esteban Rodriguez Condia, Matteo Sonza Reorda, Marco Barbiero, Rossella Fortuna:
GPU Under Pressure: Estimating Application's Stress via Telemetry and Performance Counters. - Jun Li, Yanwei Xu, Keran Li, Xiaoli Zhang:
Deep learning models are vulnerable, but adversarial examples are even more vulnerable. - Manan Sharma, Arya Suneesh, Manish Jain, Pawan Kumar Rajpoot, Prasanna Devadiga, Bharatdeep Hazarika, Ashish Shrivastava, Kishan Gurumurthy, Anshuman B. Suresh, Aditya U. Baliga:
Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts. - Grigory Kovalev, Natalia V. Loukachevitch, Mikhail Tikhomirov, Olga Babina, Pavel Mamaev:
Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIR. - P. Bilha Githinji, Aikaterini Meilliou, Peiwu Qin:
On Text Simplification Metrics and General-Purpose LLMs for Accessible Health Information, and A Potential Architectural Advantage of The Instruction-Tuned LLM class. - Yiming Xie, Hua Dai, Mingfeng Jiang, Pengyue Li, Zhengkai Zhang, Bohan Li:
An Efficient Proximity Graph-based Approach to Table Union Search. - José Gómez-Torrecillas, Francisco Javier Lobillo, Gabriel Navarro, Paolo Santonastaso:
Adjoint and duality for rank-metric codes in a skew polynomial framework. - Grigory Kovalev, Mikhail Tikhomirov:
Iterative Layer-wise Distillation for Efficient Compression of Large Language Models. - Mohammed Ahmed Adam Abdalrahman, Huijian Zhu, Jiu Ding, Qianglian Huang:
Anti-commuting Solutions of the Yang-Baxter-like Matrix Equation. - Ruolin Li, Min Liu, Yuan Bian, Zhaoyang Li, Yuzhen Li, Xueping Wang, Yaonan Wang:
A Dual-stage Prompt-driven Privacy-preserving Paradigm for Person Re-Identification. - Zhaoyang Li, Shangzhuo Xie, Qianqian Yang:
FM4Com: Foundation Model for Scene-Adaptive Communication Strategy Optimization. - Fuyang Liu, Jiaqi Xu, Xiaowei Hu:
Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start. - Romain Lefeuvre, Charly Reux, Stefano Zacchiroli, Olivier Barais, Benoît Combemale:
Chasing One-day Vulnerabilities Across Open Source Forks. - Arslan Mumtaz, Mridula Singh:
TRICK: Time and Range Integrity ChecK using Low Earth Orbiting Satellite for Securing GNSS. - Disesdi Susanna Cox, Niklas Bunzel:
Quantifying the Risk of Transferred Black Box Attacks. - Yasemin Turkan, Faik Boray Tek, M. Serdar Nazli, Öykü Eren:
Early Alzheimer's Disease Detection from Retinal OCT Images: A UK Biobank Study. - Jörg Gamerdinger, Benedict Wetzel, Patrick Schulz, Sven Teufel, Oliver Bringmann:
SnowyLane: Robust Lane Detection on Snow-covered Rural Roads Using Infrastructural Elements. - Benjamin Kahl, Marcus Hebel, Michael Arens:
Efficient representation of 3D spatial data for defense-related applications. - Xingzhi Zhang, Buyi Lv, Yimin Lu, Kai Bu:
PhantomFetch: Obfuscating Loads against Prefetcher Side-Channel Attacks. - Do Hyun Kim, Ahmet Cetinkaya:
Confidentiality in a Card-Based Protocol Under Repeated Biased Shuffles. - Álvaro Guglielmin Becker, Lana Bertoldo Rossato, Anderson Rocha Tavares:
Usando LLMs para Programar Jogos de Tabuleiro e Variações. - Alex Junior da Cunha Coelho, Araceli Hernandez, Luis Badesa:
Evaluating the Impact of a Load Admittance Approximation in Transient Stability-Constrained Optimal Power Flow. - Ian Kolaja, Ludovic Jantzen, Tatiana Siaraferas, Massimiliano Fratoni:
Predicting and forecasting reactivity and flux using long short-term memory models in pebble bed reactors during run-in. - Victor Mayoral Vilches, Luis Javier Navarrete-Lozano, Francesco Balassone, María Sanz-Gómez, Cristóbal R. J. Veas Chavez, Maite del Mundo de Torres:
Cybersecurity AI in OT: Insights from an AI Top-10 Ranker in the Dragos OT CTF 2025. - Daniel Grießhaber, Maximilian Kimmich, Johannes Maucher, Ngoc Thang Vu:
A Toolbox for Improving Evolutionary Prompt Search. - Weiping Bu, Zhengfang Xie, Yushi Wang:
Numerical simulation of the dual-phase-lag heat conduction equation on a one-dimensional unbounded domain using artificial boundary condition. - Sergey Shvydun:
Zoo of Centralities: Encyclopedia of Node Metrics in Complex Networks. - Felix Divo, Maurice Kraus, Anh Q. Nguyen, Hao Xue, Imran Razzak, Flora D. Salim, Kristian Kersting, Devendra Singh Dhami:
QuAnTS: Question Answering on Time Series. - Bin Fan, Jian-Jian Jiang, Zhuohao Li, Yi-Xiang He, Xiao-Ming Wu, Yihan Yang, Shengbang Liu, Weishi Zheng:
Decomposed Object Manipulation via Dual-Actor Policy. - Fernando Berzal:
DL101 Neural Network Outputs and Loss Functions. - Urslla Uchechi Izuazu, Mounir Bensalem, Admela Jukan:
A Secured Intent-Based Networking (sIBN) with Data-Driven Time-Aware Intrusion Detection. - Robin Armingaud, Romaric Besançon:
ManufactuBERT: Efficient Continual Pretraining for Manufacturing. - Patrice Labedan, Nicolas Drougard:
Interface Homme-Machine pour l'Identification des Liaisons de Coins. - Silvia Preda, Matteo Semplice:
Implicit reconstruction from point cloud: an adaptive level-set-based semi-Lagrangian method. - Cristina Olmedilla, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, José Duato:
Improving Injection-Throttling Mechanisms for Congestion Control for Data-center and Supercomputer Interconnects. - Jingsong Liu, Han Li, Nassir Navab, Peter J. Schüffler:
From Linear Probing to Joint-Weighted Token Hierarchy: A Foundation Model Bridging Global and Cellular Representations in Biomarker Detection. - Adrian Azzarelli, Nantheera Anantrasirichai, David R. Bull:
Splatography: Sparse multi-view dynamic Gaussian Splatting for filmmaking challenges. - Azhar Hussain Mozumder, M. John Basha, Chayapathi A. R:
SmartSecChain-SDN: A Blockchain-Integrated Intelligent Framework for Secure and Efficient Software-Defined Networks. - Sahar Salimpour, Iacopo Catalano, Tomi Westerlund, Mohsen Falahi, Jorge Peña Queralta:
Follow-Me in Micro-Mobility with End-to-End Imitation Learning. - Jan-Thorsten Peter, David Vilar, Tobias Domhan, Dan Malkin, Markus Freitag:
Mind the Gap... or Not? How Translation Errors and Evaluation Details Skew Multilingual Results. - Aras Erarslan, Carlos Sevilla-Salcedo, Ville Tanskanen, Anni Nisov, Eero Päiväkumpu, Heikki Aisala, Kaisu Honkapää, Arto Klami, Petrus Mikkola:
Consecutive Preferential Bayesian Optimization. - Ahmad Hatahet, Christoph Knieke, Andreas Rausch:
Generating Software Architecture Description from Source Code using Reverse Engineering and Large Language Model. - Alexander Lappe, Martin A. Giese:
Another BRIXEL in the Wall: Towards Cheaper Dense Features. - Simon Baur, Tristan Ruhwedel, Ekin Böke, Zuzanna Kobus, Gergana Lishkova, Christoph Wetz, Holger Amthauer, Christoph Roderburg, Frank Tacke, Julian M. Rogasch, Wojciech Samek, Henning Jann, Jackie Ma, Johannes Eschrich:
Multimodal Deep Learning for Prediction of Progression-Free Survival in Patients with Neuroendocrine Tumors Undergoing 177Lu-based Peptide Receptor Radionuclide Therapy. - Zijiang Yang, Hanqing Chao, Bokai Zhao, Yelin Yang, Yunshuo Zhang, Dongmei Fu, Junping Zhang, Le Lu, Ke Yan, Dakai Jin, Minfeng Xu, Yun Bian, Hui Jiang:
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification. - Davide Marincione, Donato Crisostomi, Roberto Dessi, Emanuele Rodolà, Emanuele Rossi:
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models. - Soham Chatterjee, Prahladh Harsha, Mrinal Kumar:
Deterministic list decoding of Reed-Solomon codes. - Mathias Lundteigen Mohus, Jingyue Li, Zhirong Yang:
Associative Poisoning to Generative Machine Learning. - Ragini Gupta, Naman Raina, Bo Chen, Li Chen, Claudiu Danilov, Josh Eckhardt, Keyshla Bernard, Klara Nahrstedt:
No One-Model-Fits-All: Uncovering Spatio-Temporal Forecasting Trade-offs with Graph Neural Networks and Foundation Models. - Johan Schubert, Patrik Hansen, Pontus Hörling, Ronnie Johansson:
Autonomous generation of different courses of action in mechanized combat operations. - Cong-Thanh Do, Rama Doddipatla, Kate M. Knill:
Effectiveness of Chain-of-Thought in Distilling Reasoning Capability from Large Language Models. - Adrián Campazas Vega, Claudia Álvarez-Aparicio, David Sobrín-Hidalgo, Laura Inyesto-Alonso, Francisco Javier Rodríguez-Lera, Vicente Matellán Olivera, Ángel Manuel Guerrero-Higueras:
Procedimiento de auditoría de ciberseguridad para sistemas autónomos: metodología, amenazas y mitigaciones. - Kamil Ciosek, Nicolò Felicioni, Juan Elenter Litwin:
Linear Gradient Prediction with Control Variates. - Zhibo Dong, Yong Huang, Shubao Sun, Wentao Cui, Zhihua Wang:
BLADE: Behavior-Level Anomaly Detection Using Network Traffic in Web Services. - Yichen Zhu, Feifei Feng:
Let Me Show You: Learning by Retrieving from Egocentric Video for Robotic Manipulation. - Linus Nwankwo, Bjoern Ellensohn, Christian Rauch, Elmar Rueckert:
Beyond Master and Apprentice: Grounding Foundation Models for Symbiotic Interactive Learning in a Shared Latent Space. - Huimin Hu, Michael Pradel:
CodeMapper: A Language-Agnostic Approach to Mapping Code Regions Across Commits. - Ryuji Hashimoto, Ryosuke Takata, Masahiro Suzuki, Yuki Tanaka, Kiyoshi Izumi:
Emergence from Emergence: Financial Market Simulation via Learning with Heterogeneous Preferences. - André Peter Kelm, Max Braeschke, Emre Gülsoylu, Simone Frintrop:
Walk the Lines 2: Contour Tracking for Detailed Segmentation. - Muneer Ahmad:
Mapping Research Productivity of BRICS Countries with Special Reference to Coronary Artery Disease (CAD): A Scientometric Study. - Varun Manjunath, Pranav Ramesh, Gopalakrishnan Srinivasan:
NeuroFlex: Column-Exact ANN-SNN Co-Execution Accelerator with Cost-Guided Scheduling. - Ioannis Karampinis, Petros Ellinas, Johanna Vorwerk, Spyros Chatzivasileiadis:
Neural Operators for Power Systems: A Physics-Informed Framework for Modeling Power System Components. - Chuchu Chen, Xinyu Chen, Jialin Hong:
The law of iterated logarithm for numerical approximation of time-homogeneous Markov process. - Jiang Lin, Xinyu Chen, Song Wu, Zhiqiu Zhang, Jizhi Zhang, Ye Wang, Qiang Tang, Qian Wang, Jian Yang, Zili Yi:
FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction. - David Bertram, Anja Ophey, Sinah Röttgen, Konstantin Kufer, Gereon R. Fink, Elke Kalbe, Clint Hansen, Walter Maetzler, Maximilian Kapsecker, Lara Marie Reimer, Stephan M. Jonas, Andreas T. Damgaard, Natasha B. Bertelsen, Casper Skjærbæk, Per Borghammer, Karolien Groenewald, Pietro-Luca Ratti, Michele T. Hu, Noémie Moreau, Michael Sommerauer, Katarzyna Bozek:
ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy. - Mengqi Guo, Bo Xu, Yanyan Li, Gim Hee Lee:
4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos. - Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann:
Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. - Rui Wu, Lizheng Wang, Yongjun Li:
The Causal Round Trip: Generating Authentic Counterfactuals by Eliminating Information Loss. - Peide Li, Liu Cao, Lyutianyang Zhang, Dongyu Wei, Ye Hu, Qipeng Xie:
EPFL-REMNet: Efficient Personalized Federated Digital Twin Towards 6G Heterogeneous Radio Environment. - Zilong Li, Jie Cao:
Translation via Annotation: A Computational Study of Translating Classical Chinese into Japanese. - Xincheng Yao, Yan Luo, Zefeng Qian, Chongyang Zhang:
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining. - Stefan Takacs:
An Isogeometric Tearing and Interconnecting method for conforming discretizations of the biharmonic problem. - Mohamed Sanim Akremi, Rim Slama, Hedi Tabia:
Accurate online action and gesture recognition system using detectors and Deep SPD Siamese Networks. - Jialin Hong, Diancong Jin, Xu Wang:
Asymptotic error distribution of numerical methods for parabolic SPDEs with multiplicative noise. - Hamed Rezazadeh, Mohammad Monfared, Meghdad Fazeli, Saeed Golestan:
Voltage-Independent Active-Power Droop Coefficient for Enhanced Andronov-Hopf Oscillator Grid-Forming Inverters. - Tiziano Natali, Karin Olthof, Niels F. M. Kok, Koert F. D. Kuhlmann, Theo Jacques Marie Ruers, Matteo Fusaglia:
Automatic segmentation of colorectal liver metastases for ultrasound-based navigated resection. - Qi Sun, Dingju Zhou, Lina Zhang:
OregairuChar: A Benchmark Dataset for Character Appearance Frequency Analysis in My Teen Romantic Comedy SNAFU. - Taihelong Zeng, Yun Lin, Yuhe Shi, Yan Li, Zhiqing Wei, Xuanru Ji:
An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones. - Gabriel Serrão Seabra, Nikolaj Takata Mücke, Vinicius Luiz Santos Silva, Alexandre Anozé Emerick, Denis V. Voskov, Femke C. Vossepoel:
Integrating Score-Based Diffusion Models with Machine Learning-Enhanced Localization for Advanced Data Assimilation in Geological Carbon Storage. - Ishan Kavathekar, Hemang Jain, Ameya Rathod, Ponnurangam Kumaraguru, Tanuja Ganu:
TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems. - Jack Hong, Chenxiao Zhao, ChengLin Zhu, Weiheng Lu, Guohai Xu, Xing Yu:
DeepEyesV2: Toward Agentic Multimodal Model. - Hokyun Im, Euijin Jeong, Jianlong Fu, Andrey Kolobov, Youngwoon Lee:
TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models. - Teqi Hao, Xioayu Tan, Shaojie Shi, Yinghui Xu, Xihe Qiu:
Reflective Personalization Optimization: A Post-hoc Rewriting Framework for Black-Box Large Language Models. - Marius Fracarolli, Michael Staniek, Stefan Riezler:
Embedding-Space Data Augmentation to Prevent Membership Inference Attacks in Clinical Time Series Forecasting. - Tommy Mordo, Omer Madmon, Moshe Tennenholtz:
Cooperation Under Network-Constrained Communication. - Jiaxi Yin, Pengcheng Wang, Han Ding, Fei Wang:
What's on Your Plate? Inferring Chinese Cuisine Intake from Wearable IMUs. - Rui Yan, Yibo Li, Han Ding, Fei Wang:
Cross-domain EEG-based Emotion Recognition with Contrastive Learning. - Shaolong Wu:
Local Technological Access, Income Disparities, and Job-Seeking in the United States Since 2010. - Jon M. Kleinberg, Fan Wei:
Language Generation and Identification From Partial Enumeration: Tight Density Bounds and Topological Characterizations. - Mohammed Hilel, Yannis Karmim, Jean de Bodinat, Reda Sarehane, Antoine Gillon:
Building Specialized Software-Assistant ChatBot with Graph-Based Retrieval-Augmented Generation. - Zhenyu Yang, Kairui Zhang, Yuhang Hu, Bing Wang, Shengsheng Qian, Bin Wen, Fan Yang, Tingting Gao, Weiming Dong, Changsheng Xu:
LiveStar: Live Streaming Assistant for Real-World Online Video Understanding. - Emmanuel Pio Pastore, Giuseppe Passarino, Peppino Sapia, Francesco De Rango:
Entropy-Rank Ratio: A Novel Entropy-Based Perspective for DNA Complexity and Classification. - Arthur Satouf, Yuxuan Zong, Habiboulaye Amadou Boubacar, Pablo Piantanida, Benjamin Piwowarski:
QUESTER: Query Specification for Generative Retrieval. - Qianru Meng, Xiao Zhang, Zhaochen Ren, Joost Visser:
Code Review Automation using Retrieval Augmented Generation.
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