2025 Computational Linguistics paper: 'Eliciting and Improving the Causal Reasoning Abilities of Large Language Models with Conditional Statements'
2024 EMNLP (Findings) paper: 'Unlocking the Potential of Model Merging for Low-Resource Languages'
2024 ACL (Findings) paper: 'Teaching Large Language Models an Unseen Language on the Fly'
2024 ACL paper: 'MC²: Towards Transparent and Culturally-Aware NLP for Minority Languages in China'
2024 ACL paper: 'Harder Task Needs More Experts: Dynamic Routing in MoE Models'
2024 ICLR Tiny Paper: 'Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang'
2024 ICLR Tiny Paper: 'Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?'
2023 arXiv preprint: 'Lawyer LLaMA: Enhancing LLMs with Legal Knowledge'
2023 ACL (Findings) paper: 'How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension'
Research Experience
No specific work experience or research projects described.
Education
Received B.Sc. degree from the School of Electronic Engineering and Computer Science at Peking University in 2021; currently a final-year Ph.D. student at PIE Lab, Wangxuan Institute of Computer Technology, Peking University, advised by Prof. Yansong Feng.
Background
Research interests include: NLP for Low-Resource Languages, LLMs for Language Science, and Complex Reasoning with LLMs.