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arXiv cs.AI·

EDGE-OPD: Internalizing Privileged Context with Evidence Guided On-Policy Distillation

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In three linesEDGE-OPD improves on-policy self-distillation (OPSD) by using guided rollouts and evidence masking to efficiently transfer privileged context (persona, private fact, worked solution) without degrading general model capabilities. Experiments show standard OPSD fails on rare-identity tasks while EDGE-OPD succeeds.
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Reinforcement learningFine-tuningReasoning

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