IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning
Researchers propose IG-Search, a reinforcement learning framework that rewards LLMs for effective search queries using step-level information gain signals rather than trajectory-level rewards. The approach measures how retrieved documents improve model confidence in correct answers, addressing gradient collapse in existing search-augmented reasoning systems.
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