Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning
By Zhu Zhang · Paper · cs.LG
On-policy distillation (OPD) trains a student on its own responses using dense token-level guidance from a stronger teacher. In long-context tasks, however, token-level teacher support can favor locally plausible responses that omit evidence distributed across the input or violat