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NLPR, MAIS, Institute of Automation, Chinese Academy of Sciences
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Achieve state-of-the-art results in agentic knowledge base question answering by distilling gold-action policies into on-policy student rollouts, bridging the gap between sparse rewards and weakly supervised intermediate actions.
