arXiv (OAI Expanded)
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RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation
On-policy self-distillation (OPSD) provides dense, token-level supervision for reasoning models by aligning a model's own distribution with that under privileged context, typically a verified solution. However, we show that the resulting distributional gap concentrates on style tokens rather than ta
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