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Publication search results
found 790 matches
- 2024
- Babak Vaheddoost, Shervin Rahimzadeh Arashloo, Mir Jafar Sadegh Safari:
Vertical and Horizontal Water Penetration Velocity Modeling in Nonhomogenous Soil Using Fast Multi-Output Relevance Vector Regression. Big Data 12(4): 299-311 (2024) - Alex Falcon, Giuseppe Serra, Oswald Lanz:
Improving semantic video retrieval models by training with a relevance-aware online mining strategy. Comput. Vis. Image Underst. 245: 104035 (2024) - Wayne de Fremery, Michael K. Buckland:
Relevance and creativity - a linear model. J. Documentation 80(4): 882-897 (2024) - Jianping Liu, Yingfei Wang, Jian Wang, Meng Wang, Xintao Chu:
A topic relevance-aware click model for web search. J. Intell. Fuzzy Syst. 46(4): 8961-8974 (2024) - Saurabh Mandloi, Mohd Zuber, Rajeev Kumar Gupta:
An explainable brain tumor detection and classification model using deep learning and layer-wise relevance propagation. Multim. Tools Appl. 83(11): 33753-33783 (2024) - Zhipeng Cao, Guilai Zhan, Jinmei Qin, Renata B. Cupertino, Jonatan Ottino-Gonzalez, Alistair Murphy, Devarshi Pancholi, Sage Hahn, Dekang Yuan, Peter Callas, Scott Mackey, Hugh Garavan:
Unraveling the molecular relevance of brain phenotypes: A comparative analysis of null models and test statistics. NeuroImage 293: 120622 (2024) - Harald Hruschka:
Relevance of dynamic variables in multicategory choice models. OR Spectr. 46(1): 109-133 (2024) - Badamasi Abba, Jinbiao Wu, Mustapha Muhammad:
A robust multi-risk model and its reliability relevance: A Bayes study with Hamiltonian Monte Carlo methodology. Reliab. Eng. Syst. Saf. 250: 110310 (2024) - Hamid Taghavifar, Aref Mardani:
Gaussian Process With Automatic Relevance Determination Predictive Model for Energy Management of Electric Direct-Drive Wheels: Experimental Validation. IEEE Trans. Veh. Technol. 73(2): 1910-1917 (2024) - Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. ACL (1) 2024: 5050-5063 - Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang:
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. ACL (1) 2024: 3708-3719 - Aditya Kiran Brahma, Srinivas Nagamalla, Jose Mathew, Jairaj Sathyanarayana:
Improving search relevance in a hyperlocal food delivery using language models. COMAD/CODS 2024: 479-483 - Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen:
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. ECIR (2) 2024: 286-302 - Dushan Kumarasinghe, Nisansa de Silva:
Abstract Generation with Hybrid Model Supported by Relevance Matrix. ICCCI (1) 2024: 211-223 - Zhe Lin, Jiwei Tan, Dan Ou, Xi Chen, Shaowei Yao, Bo Zheng:
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce. KDD 2024: 5398-5408 - Ben Chen, Huangyu Dai, Xiang Ma, Wen Jiang, Wei Ning:
Robust Interaction-Based Relevance Modeling for Online e-Commerce Search. ECML/PKDD (9) 2024: 55-71 - Catherine Chen, Jack Merullo, Carsten Eickhoff:
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models. SIGIR 2024: 1401-1410 - Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis:
Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance. SIGIR 2024: 1525-1534 - Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. SIGIR 2024: 208-217 - Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy:
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. WWW (Companion Volume) 2024: 206-215 - Chuting Yu, Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon:
TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval. CoRR abs/2401.13509 (2024) - Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang:
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. CoRR abs/2402.13542 (2024) - Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy:
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. CoRR abs/2403.00923 (2024) - Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen:
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. CoRR abs/2403.07654 (2024) - Shengjie Ma, Chong Chen, Qi Chu, Jiaxin Mao:
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval. CoRR abs/2403.18405 (2024) - Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction using Relevance Judgments Generated by Large Language Models. CoRR abs/2404.01012 (2024) - Yizhu Liu, Ran Tao, Shengyu Guo, Yifan Yang:
Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation. CoRR abs/2404.02616 (2024) - Luca Comanducci, Fabio Antonacci, Augusto Sarti:
Interpreting End-to-End Deep Learning Models for Speech Source Localization Using Layer-wise Relevance Propagation. CoRR abs/2404.03436 (2024) - Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis:
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR abs/2404.11791 (2024) - Catherine Chen, Jack Merullo, Carsten Eickhoff:
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models. CoRR abs/2405.02503 (2024)
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