ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation

Zhao Wang, Ziliang Zhao, Zhicheng Dou

Reinforcement learning (RL) has become a promising paradigm for optimizing Retrieval-Augmented Generation (RAG) in complex reasoning tasks. However, traditional outcome-based RL ap…