Paper 'Retrieval-Augmented Generation with Conflicting Evidence' accepted to COLM 2025; preprint 'CLaMR' released; paper 'AdaCAD' accepted to NAACL 2025; served as PC member/reviewer for multiple conferences including ACL, EMNLP, NAACL, COLM, ICLR, NeurIPS, AAAI, and COLING.
Research Experience
Working as a research intern at AMD GenAI team with Xiaodong Yu, Yusheng (Ethan) Su, and Zicheng Liu; has worked at Amazon (with Rinat Khaziev), Microsoft Research Asia NLC Group (with Lei Cui), Microsoft Cognitive Services Research Group (with Chenguang Zhu and Yang Liu), and Westlake University (with Prof. Yue Zhang).
Education
Currently a third-year Ph.D. student at the University of North Carolina at Chapel Hill, supervised by Prof. Mohit Bansal; received master’s degree from New York University; bachelor’s degree from Tongji University.
Background
Research interests include making large language models more robust, efficient, and reliable, evaluating and improving LLMs’ capabilities, and knowledge-enhanced NLP. Favors and pursues the methods that are simple, intuitive, and effective.
Miscellany
Open to academic collaborations, please drop an email if interested.