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DuoOPD: Learning from Joint Teacher-Student Outcomes for Multi-Task On-Policy Distillation
On-policy distillation (OPD) trains a student on its own responses with token-level feedback from a stronger teacher, yet the teacher can fail on questions the student already answers correctly, and how often each model succeeds varies across tasks. OPD ignores these outcomes and, on average, pushes
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