Xuheng Li
I am a Ph.D. student of the AGI Lab in the Department of Computer Science at the University of California, Los Angeles, advised by Prof. Quanquan Gu. I received my B.Sc. at the School of Mathematical Sciences at Peking University.
My research focuses on optimization and RL applied to the pre-training and post-training of LLMs. I am also interested in sampling based-methods, including the diffusion models and their applications. I am fascinated with in how the dynamics of high-dimensional models are shaped by the low-dimensional structure of the data and training algorithms.
News
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Apr 2026
Heading to ICLR 2026 in Rio de Janeiro! I will be presenting two works:
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Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling
Main conference, poster session 2 · Poster P4-#4306 · Afternoon of April 23 -
Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence
DeLTa 2026 Workshop
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Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling
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Mar 2026
We just launched EurekaClaw, an AI research agent that captures your Eureka moments!
1/n 🦞 Introducing EurekaClaw💡 — a local-first AI research agent that captures your Eureka moments before they vanish. From idea → proof → experiment → paper — fully automated. Local-first. Zero data leak. 🔒
— EurekaClaw (@EurekaClaw) March 22, 2026