Nathaniel Thomas

TIPS: Turn-level Information-Potential Reward Shaping for Search-Augmented LLMs

Search-augmented large language models (LLMs) trained with reinforcement learning (RL) have achieved strong results on open-domain question answering (QA), but training still remains a significant challenge. The optimization is often unstable due to sparse rewards and difficult credit assignments ac…