Publications

Feiyang Kang, Yifan Sun, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia (2025). AutoScale-Automatic Prediction of Compute-optimal Data Composition for Training LLMs. COLM 2025.

Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, Lucy Lu Wang (2025). Know Your Limits: A Survey of Abstention in Large Language Models. TACL 2025.

Bingbing Wen, Chenjun Xu, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe (2024). Mitigating Overconfidence in Large Language Models: A Behavioral Lens on Confidence Estimation and Calibration. NeurIPS 2024 BML.

Bingbing Wen, Bill Howe, Lucy Lu Wang (2024). Characterizing LLM Abstention Behavior in Science QA with Context Perturbations. EMNLP 2024.

Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe (2024). Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT 2024.

Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang (2024). OmniMotionGPT: Animal Motion Generation with Limited Data. CVPR 2024.

Bingbing Wen, Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Bill Howe, Lijuan Wang (2023). InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models. Microsoft Research.

Xuyang Liu, Bingbing Wen, Sibei Yang (2023). CCQ: cross-class query network for partially labeled organ segmentation. AAAI 2023.

Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah (2022). Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. arXiv.

Bingbing Wen, Xiaoning Bu, Chirag Shah (2022). EGCR: Explanation Generation for Conversational Recommendation. arXiv.