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arXiv cs.LGPaper

On-Policy Self-Distillation without Any Supervision

Removing the dependency on external reward signals or larger teacher models for self-improvement is a meaningful efficiency gain if it holds up across model scales. Worth tracking for teams doing post-training on a budget, since it suggests self-consistency alone can drive real capability gains without expensive labeling pipelines.