Dr. Free: You Don't Need Difficulty Rewards for Self-Evolving Search Agents
This paper introduces \methodname, the first self-evolving search framework that eliminates difficulty-based proposer rewards and directly optimizes for evidence necessity relative to shortcut contexts, and shows that Dr. Free outperforms prior data-free search agents and the supervised baseline.
Zhi-Peng Qian, Zi-Han Liang, Yu-Fei Ma et al.
· 0 citations