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Beyond Policy Discrepancy: Capability-Aware Multi-Teacher On-Policy Distillation
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reinforcement learningdistillationmulti-teachercapability-guided
2610.26950
Builder Relevance
2h ago80%
Abstract
The paper proposes a new method for multi-teacher on-policy distillation that adjusts supervision based on the student's capability gaps.
Reality Card
Core Claim
CA-MOPD outperforms existing methods by effectively merging specialists and adjusting supervision based on capability gaps, achieving an average score of 32.22 across benchmarks.
Method / Result
CA-MOPD achieves an average score of 32.22, outperforming naive MOPD, Open-MOPD, and merged initialization by 0.86, 0.83, and 0.74 points, respectively.
Limitations
The paper does not specify author names or detailed experimental setups, which may hinder reproducibility.
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