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MoGround: Measuring and Mitigating Modality Distraction in Vision-Language Models
We release MoGround, a vision-language dataset spanning four visual domains in which the answer to every question is guaranteed to be available from exactly one modality. This guarantee enables us to measure modality distraction, the failure in which a model answers a question correctly from one mod
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