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Self-Boosting Vision-Language Models with Noisy Student On-Policy Self-Distillation

arXiv cs.LG ↗ · 2026-07-28 Cached

Proposes NOPD, a self-distillation method that improves vision-language models without external supervision by leveraging prediction discrepancies between clean and corrupted inputs. Achieves significant gains on visual reasoning tasks, matching or exceeding RL and distillation from external models.

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