When to rethink: learning multi-perspective self-verification for vision-language models
Read the original at arxiv.org→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....
Original headline: "When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models"
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- Oct 7, 04:00 UTC arXiv cs.AI lead source When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models