Unsupervised On-Policy Self-Distillation Improves LLMs
UCSanDiego · hf · 2026-08-12
UC SanDiego published a new research paper introducing an unsupervised on-policy self-distillation method for large language models.
By leveraging internal consistency and majority-vote pseudo-solutions, this approach can correct confident errors without requiring any external supervision.
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