MagiC evaluates answer correctness, reasoning validity, grounding fidelity, and self-correction on about 900 hand-annotated visual questions across 15 vision-language models.
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MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning
MagiC evaluates answer correctness, reasoning validity, grounding fidelity, and self-correction on about 900 hand-annotated visual questions across 15 vision-language models.