MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning
MagiC is a benchmark designed to test if large vision-language models truly perform grounded visual reasoning or just rely on superficial patterns. It evaluates four dimensions: answer correctness, reasoning validity, grounding fidelity, and self-correction ability using human-curated examples.