Published several papers including 'NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization', 'Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach', 'EmoBench: Evaluating the Emotional Intelligence of Large Language Models', etc.; paper 'SimClass' accepted by NAACL 2025, 'Slide2Lecture' accepted by KDD 2025; received honors including Siebel Scholar Class 2025, Huiyan Talent Comprehensive Scholarship, Outstanding Graduates, etc.
Research Experience
Visited CLIP Lab@UMD in 2024, working with Prof. Jordan Boyd-Graber; involved in multiple projects such as Cognitively Understanding and Improving Language Models, AI for Education, etc.
Education
Obtained a Bachelor of Laws (LL.B.) degree in Philosophy, Politics, and Economy (PPE) at Xinya College, Tsinghua University in 2022, with a minor in Psychology; Master student at the Knowledge Engineering Group, Tsinghua University, advised by Prof. Juanzi Li and worked closely with Prof. Zhiyuan Liu; currently a Ph.D. student at the Language Technology Institute, Carnegie Mellon University, advised by Prof. Sherry Wu at the WInE Lab.
Background
Research interests include AI and NLP, dedicated to understanding advanced models from the perspectives of intelligence and cognition, and developing AI systems and applications that truly benefit humanity and society. Broad interest in social sciences and cognitive sciences.
Miscellany
Personal interests include social sciences and cognitive sciences; served as a reviewer for multiple academic conferences including ACL Rolling Review 2024 & 2025, CIKM 2024, KDD 2025, AAAI 2025.