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On-Policy Self-Distillation without Any Supervision

183 upvotes · 9 AUG 2026 · Yijiang Li, Bingyang Wang, Yijun Liang et al.

This paper shows how to make large language models improve themselves without needing external guidance or supervision, by using their own internal consistency to correct mistakes. Practitioners might care about this because it could lead to more robust and self-sufficient AI models.

self-distillationon-policy methodsunsupervised learninginternal consistencyreinforcement learningcontinual learning