Bingbing Wen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Partially Labeled

Organ Segmentation

Interactive Question Answering

Top Venues

Publications

Feiyang Kang, Yifan Sun, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia
AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs. CoRR (2024)
Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, Lucy Lu Wang
The Art of Refusal: A Survey of Abstention in Large Language Models. CoRR (2024)
Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. CoRR (2024)
Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT (2024)
Bingbing Wen, Bill Howe, Lucy Lu Wang
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations. CoRR (2024)
Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang
OmniMotionGPT: Animal Motion Generation with Limited Data. CoRR (2023)
Xuyang Liu, Bingbing Wen, Sibei Yang
CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation. AAAI (2023)
Bingbing Wen, Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Bill Howe, Lijuan Wang
InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models. CoRR (2023)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. CoRR (2022)
Bingbing Wen, Xiaoning Bu, Chirag Shah
EGCR: Explanation Generation for Conversational Recommendation. CoRR (2022)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
ExpScore: Learning Metrics for Recommendation Explanation. WWW (2022)