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MMMG: a Comprehensive and Reliable Benchmark for Multitask Multimodal Generation

Yao, Jihan et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognition
Automatically evaluating multimodal generation presents a significant challenge, as automated metrics often struggle to align with human evaluation, especially for complex tasks that involve multiple modalities. We present MMMG, the first benchmark to bring the verifiable-task paradigm to multimodal
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