Dense Process Supervision for Search Agents via Fact Utility Estimation
A dense process supervision method based on fact utility estimation, which models the reasoning process as the accumulation of discrete evidence facts, and converts the estimated fact utilities into dense step-level rewards to guide RL training.
Rongzhi Zhu, Xiang-Yu Liu, Yi Liu et al.
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