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Program-Verified Self-Evolution for Vision-Language Models
artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognitionmachine-learningneural-and-evolutionary-computing
Self-evolving vision-language models train on questions they generate from unlabeled images. Since these questions have no gold answers, prior methods label them by majority vote over sampled answers or by a model judge. In a human evaluation, we find that 24\% of majority-vote labels and 18\% of mo
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