Publications

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, Ian Slaughter, Bin Han, Bingbing Wen, Yifei Yang, Leah Rosenblatt, Ben Herman, Others (2024). Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT 2024.

Zhen Yang, Meng Zhou, Ming Shan, Bingbing Wen, Ziwei Xuan, Michael Hill, Jing Bai, Guo-Jun Qi, Yu-Wing Tai (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, Yichao Feng, Yongfeng Zhang, Chirag Shah (2022). Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. arXiv.

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

Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah (2022). ExpScore: Learning metrics for recommendation explanation. WWW 2022.