Gai, Yu

5 publications

ICLRW 2025 KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lecue, Shuang Yang, Dawn Song, Bo Li

ICLR 2025 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song

NeurIPS 2025 Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations Yiyou Sun, Yu Gai, Lijie Chen, Abhilasha Ravichander, Yejin Choi, Nouha Dziri, Dawn Song

NeurIPS 2020 A Statistical Framework for Low-Bitwidth Training of Deep Neural Networks Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E Gonzalez

NeurIPS 2018 Loss Functions for Multiset Prediction Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho