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When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models
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 external judges, but existing methods typically depen
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