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cs.LG2026
Long Chain-of-Thought Compression via Fine-Grained Group Policy Optimization
Xinchen Han, Hossam Afifi, Michel Marot +2
Large Language Models (LLMs) often generate unnecessarily verbose Chain-of-Thought (CoT) reasoning that increases computational costs and latency without proportional performance g…
cs.LG2026
Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
Xinchen Han, Qiuyang Fang, Hossam Afifi +1
Offline Reinforcement Learning (RL) relies on policy constraints to mitigate extrapolation error, where both the constraint form and constraint strength critically shape performanc…