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Recently, Multi-modal Large Language Models (MLLMs) have shown remarkable effectiveness for multi-modal tasks due to their abilities to generate and understand cross-modal data.
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Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi
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Sparsevlm: Visual token sparsification for efficient vision-language model inference
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Turbo: Informativity-driven acceleration plug-in for vision-language large models
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