Published multiple papers on topics such as generating graph synthetic data, controlling LLMs' sensitivity to contextual knowledge, solving graph problems with language models, detecting spoilers in movie reviews, backdoored language model agents, and generalizing LLM graph reasoning beyond pattern memorization.
Research Experience
Interned at UW NLP with Ph.D. student Shangbin Feng and Prof. Yulia Tsvetkov. Also worked with Ph.D. student Ruiqi Zhong and Prof. Jacob Steinhardt at UC Berkeley. Previous research includes natural language reasoning and AI agent safety. Co-leads LUD lab, an undergraduate research group at XJTU.
Education
Pursuing a Ph.D. at the University of Illinois at Urbana-Champaign, advised by Prof. Heng Ji and Prof. Jiawei Han.
Background
A first-year Ph.D. student at UIUC, with research interests in interpretability, reasoning, and agents.