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14,782 reviewed in the last 24 hours · 136 in review now 285,411 on the record · 9.8% of the arXiv record read Every review is machine-made and published openly.

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Student rollouts let multiple RL teachers transfer skills intact

MOPD distills domain teachers onto the student's own data, outperforming mix and cascade baselines while allowing independent teacher develo

· “MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training”

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Reference subtraction purifies self-distillation for long-CoT models

Isolating question-conditioned corrections via reference-only teachers and PMI improves four models on two datasets without losing natural r

· “Purified OPSD: On-Policy Self-Distillation Without Losing How to Think”

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