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Showing papers from The Chinese University of Hong Kong, Shenzen Show all papers

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NeurIPS 2026Xi'an JiaotongShanghai University of Finance aThe Chinese University of Hong KSGIT AIA*STARDeep RL

A Primal-dual Approach for Semi-Infinitely Constrained Reinforcement Learning

Di Wang, Liangyu Zhang, Haishan Ye, Guang Dai and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Xi'an JiaotongSGIT AIThe Chinese University of Hong KRL for LLMs

ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning

ESSAM combines evolution strategies with sharpness-aware maximization to fine-tune LLMs with 10-18x lower GPU memory than RL while matching or exceeding PPO and GRPO accuracy on math reasoning.

Zhishen Sun, Sizhe Dang, Guang Dai, Haishan Ye

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
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medium 6/10
strict 2/5