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{
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"name": "Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations",
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"author": "Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta",
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"publisher": "Submitted to ACL 2026",
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"publisher": "ACL 2026",
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"releaseDate": "2026-01",
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"summary": "We introduce Visual Fidelity and Contrastiveness -- two explanation quality scores that help users more appropriately rely on vision-language model predictions without seeing the image."
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},

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