作者位次 #3/4ACL 2026Findings· Findings of ACL
P ro C eed RL : Process Critic with Explorative Demonstration Reinforcement Learning for LLM Agentic Reasoning
Jingyue Gao · Yanjiang Guo · Chen Xiaoshuai · Jianyu Chen
摘要
Reinforcement Learning (RL) significantly enhances the reasoning abilities of large language models (LLMs), yet applying it to multi-turn agentic tasks remains challenging due to the long-horizon nature of interactions and the stochasticity of environmental feedback.We identify a structural failu...