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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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"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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"url": "https://arxiv.org/pdf/2509.25844"
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"name": "ELI-Why: Evaluating the Pedagogical Utility of LLM Explanations",
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