Xiaohan Lin
Bio
I'm currently a second year master's student at Sun Yat-sen University (SYSU), fortunately advised by Prof. Xiaodan Liang. Previously, I obtained my bachelor’s degree of Intelligent Science and Technology in SYSU.
I have a keen interest in complex reasoning with LLM, AI4MATH and formal methods, especially solving mathematical problems with LLM and automated theorem proving.
Education
- 2022-2025: Mphil in Control Science and Engineering, School of Intelligent Systems Engineering, Sun Yat-sen University.
- 2018-2022: Bachelor of Intelligent Science and Technology, School of Intelligent Systems Engineering, Sun Yat-sen University.
Publications
-
ATG: Benchmarking Automated Theorem Generation for Generative Language Models.(NAACL2024 Findings)
-
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data.(ICLR2024 Spotlight)
-
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving.(preprint, under review)
Experience
- Research Intern, Moonshot AI, Alignment team, 2024.08-2025.02 Research Intern, Huawei Noah's Ark Lab, 2023.05-2024.07
Professional Service
- NeurIPS 2024, datasets and benchmarks track, Reviewer.
- ICML 2024, AI4MATH workshop, Area Chair and Challenge Lead Organizer.