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When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models

arXiv:2610.07018v1 Announce Type: new Abstract: Vision-language models (VLMs) have achieved strong performance in multimodal reasoning, yet they remain prone to generating plausible but incorrect answers. Self-verification offers a practical way to improve answer reliability without relying on exte…

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  1. 2026-10-07 04:00 · arXiv cs.AI
    When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models

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