Abstract: Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from satisfactory.
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Large Multimodal Models (LMMs) have demonstrated remarkable capabilities when trained on extensive visual-text paired data, advancing multimodal understanding tasks significantly. However, these ...
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