MOTIVE：VLM多视角自验证重思考框架

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   arXiv · Artificial Intelligence

   VLM 何时该反思：MOTIVE 学习多视角自验证

   研究者提出 MOTIVE 框架，用多视角自验证与可靠性引导的选择性反思提升视觉语言模型（VLM）多模态推理的可靠性。MOTIVE 从互补验证视角评估候选答案，学习与正确性对齐的可靠性分数，在推理时据此决定直接接受还是触发历史引导的反思。实验显示其在多个多模态基准和 VLM 骨干上优于强自验证与自纠正基线，并减少不必要的推理轮次，无需外部评判。

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