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Ant Group
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OPRD closes the performance gap between student and teacher models while training 1.44x faster and using 54% less memory than traditional methods.
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.
