Zhaolin Gao
I’m a second-year Computer Science Ph.D. student at Cornell University, where I am advised by Thorsten Joachims and Wen Sun. My research includes reinforcement learning, natural language processing, and recommendation systems. My work has been published at NeurIPS, ICLR, CVPR, WWW, SIGIR, RecSys, and INFOCOM.
I completed my bachelor’s degree in Computer Engineering at University of Toronto, where I had the privilege of working with Baochun Li, Scott Sanner, and Maksims Volkovs.
I am also a part-time content creator with more than 50,000 followers and 10 million views on Bilibili, Douyin, and YouTube.
News
| May 27, 2025 | Our paper “Accelerating RL for LLM Reasoning with Optimal Advantage Regression” is now on arXiv. |
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| May 23, 2025 | Our paper “Value-Guided Search for Efficient Chain-of-Thought Reasoning” is now on arXiv. |
| Mar 1, 2025 | Our paper “Q#: Provably Optimal Distributional RL for LLM Post-Training” is now on arXiv. |
| Jan 25, 2025 | REFUEL is accepted to ICLR’25! |
| Oct 25, 2024 | Our paper “End-to-end Training for Recommendation with Language-based User Profiles” is now on arXiv. |
| Oct 10, 2024 | Our paper “Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF” is now on arXiv. |
| Oct 5, 2024 | I’m awarded Cornell Bowers CIS-LinkedIn Grants! |
| Oct 1, 2024 | REBEL is accepted to NeurIPS’24! |