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KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context

Lee, Nahyun et al.
arXiv (All) · Papers
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computation-and-languagemachine-learningmultimedia
Multimodal evaluation is strengthened when benchmarks reflect the languages, institutions, and disciplinary conventions that shape expert visual reasoning. We introduce KMMMU, a native Korean benchmark built from Korean-native examination materials. KMMMU contains 3,466 questions spanning nine disci
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