Jiachun Li

A lightweight "spectral cap" can enhance isotropy in weight matrices during training without sacrificing performance, preventing potential model failures.

Transformers can effectively mimic Bayesian updating processes to achieve oracle-level efficiency in average treatment effect estimation, outperforming conventional methods.

Agentic environments are not just backdrops for LLMs; they are pivotal in shaping agent evolution and capabilities.