arXiv Machine Learning June 5, 2026 By Yi Ding, Ziliang Qiu, Bolian Li, Ruqi Zhang

Learning Self-Correction in Vision-Language Models via Rollout Augmentation

Read the original on arXiv Machine Learning →

arXiv:2602. 08503v2 Announce Type: replace-cross Abstract: Self-correction is essential for solving complex reasoning problems in vision-language models (VLMs).

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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