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Teacher Should Think Ahead: Adaptive Continuations for Reliable On-Policy Distillation
On-policy distillation (OPD) is a promising approach for transferring knowledge between language models, where a student receives dense token-level supervision along its own generated trajectories. However, teacher supervision can be unreliable when conditioned on incomplete or low-quality student p
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