Unverified50% confidenceOpinionExact time
OC-OPD replaces part of the manual hyperparameter tuning with observation-driven preferences and closed-form negotiation, which may be one reason it works under different student settings.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/3/2026
First Seen
Valid until: 2/1/2027
Sources
Related Entities
Related Claims
VerifiedOnline policy distillation (OPD) has the student model generate its own training responses, which are then supervised by the teacher model.71% similarUnverifiedThe key mechanism of RM-OPD is applying token-level dense supervision on critiques generated by the student itself, making the supervision distribution consistent with the student's current policy distribution and alleviating the training-inference distribution mismatch problem.70% similarUnverifiedSteered-Teacher OPSD (ST-OPSD) simultaneously mitigates both failure modes of reference hallucination and reconsideration suppression through activation steering techniques.69% similarUnverifiedOPRD's design idea is to give reminder signals during training and completely remove the reminders at inference time, so that the student model ultimately learns to complete long-horizon tasks independently without reminders.68% similarUnverifiedThe paper categorizes existing OPSD approaches into two types: one where the teacher is fixed throughout training and has access to the full reference; the other where the teacher is unchanged within each response but adaptively varies across responses in the degree of exposure to partial reference.67% similar
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