Yiming Dong
LLM & AI4Physics
School of Physics, Peking University
About Me
I am currently a PhD student in the School of Physics at Peking University , advised by Prof. Lijing Shao . I received my bachelor's degree from the School of Physics at Peking University. My research focuses on post-training techniques for large language models, particularly reinforcement learning, as well as AI-driven astrophysical data analysis.
Research Interests
My research interests currently center on reinforcement learning for large language models, including training stability, agentic reinforcement learning, and building scientific agents for physics.
I am also interested in statistical inference, the process of using data analysis to infer properties of an underlying probability distribution, and in using AI to accelerate it and broaden its applications.
Statistical Inference
- Bayesian Inference
- Tests of Gravity & Gravitational waves
Artificial Intelligence
- Large Language Model Reasoning
- Reinforcement Learning
Publications
(* indicates equal contribution; † indicates corresponding author)
Education
Ph.D. in Astrophysics
School of Physics, Peking University
2023 - Present
(Proposed) Thesis: Scientific Explorations of Future Gravitational-wave Detections with Artificial Intelligence
B.S. in Astrophysics
School of Physics, Peking University
2019 - 2023
Internship
Internship | 2025.03 - 2026.04
Alibaba Cloud Intelligence System
Large Language Model Reasoning & Reinforcement Learning
Internship | 2026.04 - now
Tongyi Lab, Alibaba Token Hub (ATH)
Reinforcement Learning & LLM Agent
Awards
2025 · Outstanding Teaching Assistant for Undergraduate Courses
Teaching Assistant for Course Electrodynamics (A) .