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OPMD: On-Policy Mechanism Distillation Beyond Output Supervision

Shi, Yingdong et al.
arXiv (All) · Papers
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machine-learning
On-policy distillation (OPD) improves language-model by supervising a student on prefixes sampled from its own policy, but its supervision remains confined to the output space. Consequently, OPD transfers what a teacher predicts without supervising the intermediate computation that produces those pr
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