// PERSON
Lang Cao
ROLE RESEARCHERMENTIONS 1LAST SEEN JULY 3, 2026
// BIO
Lang Cao is a PhD student in Computer Science at the University of Illinois Urbana-Champaign whose research focuses on large language models, reasoning, and AI agents. He is known for his work on process reward modeling and mathematical reasoning, notably co-authoring the Entropy-Driven Uncertainty Process Reward Model (EDU-PRM) and the Step Guided Reasoning framework. He has also gained industry experience as a research intern at Microsoft Research and Amazon.
// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
hire·arXiv Physical AI·JULY 3, 2026
“Lang Cao and Renhong Chen equally contributed to this paper and are responsible for the proposal and implementation of the RL idea. (Appendix A).”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.