- Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, Huan Chen:
Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model. ACL (1) 2024: 1678-1706 - Chunhui Li, Yifan Wang, Zhen Wu, Zhen Yu, Fei Zhao, Shujian Huang, Xinyu Dai:
MultiSQL: A Schema-Integrated Context-Dependent Text2SQL Dataset with Diverse SQL Operations. ACL (Findings) 2024: 13857-13867 - Xingyuan Pan, Luyang Huang, Liyan Kang, Zhicheng Liu, Yu Lu, Shanbo Cheng:
G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation. ACL (1) 2024: 15395-15406 - Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan:
Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. AIME (1) 2024: 293-302 - Rosa van Koningsbruggen, Bart Hengeveld, Eva Hornecker:
The Secret Life of Data - Uncovering the Diverse, Lived, and More-Than-Human Nature of Personal Data. Creativity & Cognition 2024: 438-451 - Gabriel Loiseau, Valentin Lefils, Maxime Meyer, Damien Riquet:
WikiPhish: A Diverse Wikipedia-Based Dataset for Phishing Website Detection: Data/Toolset Paper. CODASPY 2024: 361-366 - Daan van Esch, Sandy Ritchie, Sebastian Ruder, Julia Kreutzer, Clara Rivera, Ishank Saxena, Isaac Caswell:
Connecting Language Technologies with Rich, Diverse Data Sources Covering Thousands of Languages. LREC/COLING 2024: 3729-3746 - Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) 2024: 2299-2315 - Hussain Otudi, Shelly Gupta, Zoran Obradovic:
Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. EANN 2024: 220-234 - Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Alessandro Bruno:
AVAtt : Art Visual Attention dataset for diverse painting styles. ETRA 2024: 34:1-34:3 - Georgia Baltsou, Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos:
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes. FG 2024: 1-10 - Serdar Yildiz, Ahmet Nezih Kasim:
ENTIRe-ID: An Extensive and Diverse Dataset for Person Re-Identification. FG 2024: 1-5 - Yunqi Li, Shulin Liu, Haonan Cheng, Long Ye:
Binauralmusic: A Diverse Dataset for Improving Cross-Modal Binaural Audio Generation. ICASSP 2024: 7990-7994 - Ziyi Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu:
Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification. ICASSP 2024: 1806-1810 - Chenggong Zhang, Daren Zha, Lei Wang, Nan Mu, Fuyong Xu:
Exploiting Persona Perception for Diverse Generation from Limited Personalized Data. ICIC (LNAI 6) 2024: 215-226 - Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang:
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. ICLR 2024 - Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang:
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. ICLR 2024 - Kang Lin, Reinhard Heckel:
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data. ICML 2024 - Haoshu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, Junbo Wang, Haoyi Zhu, Cewu Lu:
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot. ICRA 2024: 653-660 - Sartaj Solaiman, B. M. Obaydur Rahman, Md. Fahim Arefin, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W. R. Madill:
Unveiling Market Sentiments: A Comprehensive Analysis of Stock Market Responses to Diverse News Events Using Data Mining Techniques. IMCOM 2024: 1-8 - Seoyoung Kim:
Investigating How to Design Inclusive Data-Driven Systems for Diverse User Groups. IUI Companion 2024: 153-155 - Manish Nagireddy, Bernat Guillen Pegueroles, Ioana Baldini:
DARE to Diversify: DAta Driven and Diverse LLM REd Teaming. KDD 2024: 6420-6421 - Felix Leeb, Bernhard Schölkopf:
A diverse Multilingual News Headlines Dataset from around the World. NAACL (Short Papers) 2024: 647-652 - Vandana P. Janeja, Maria Sanchez, Yi Xuan Khoo, Claudia von Vacano, Lujie Karen Chen:
Adopting Foundational Data Science Curriculum with Diverse Institutional Contexts. SIGCSE (1) 2024: 576-582 - Duygu Altinok:
Bella Turca: A Large-Scale Dataset of Diverse Text Sources for Turkish Language Modeling. TSD (1) 2024: 196-213 - Jiyoung Yoon, Do-Yoon Kim, Hyun-Don Kim:
Identification of Belt Conveyor Malfunctions Using Machine Learning with Diverse Anomalous Sound Data. UR 2024: 133-137 - Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. VISIGRAPP (2): VISAPP 2024: 528-535 - Amruth Sagar, Rishabh Srivastava, Rakshitha R. T, Venkata Kesav Venna, Ravi Kiran Sarvadevabhatla:
MAdVerse: A Hierarchical Dataset of Multi-Lingual Ads from Diverse Sources and Categories. WACV 2024: 8072-8081 - Taerim Yoon:
Positional data of soft robots with diverse actuations types. IEEE DataPort, 2024 - Ernest Perkowski, Rui Pan, Tuan Dung Nguyen, Yuan-Sen Ting, Sandor Kruk, Tong Zhang, Charlie O'Neill, Maja Jablonska, Zechang Sun, Michael J. Smith, Huiling Liu, Kevin Schawinski, Kartheik Iyer, Ioana Ciuca, UniverseTBD:
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. CoRR abs/2401.01916 (2024)