Abstract: Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cultural ...
T2I models aim to create images that accurately align with the text and showcase high perceptual quality. Therefore, the proposed A-Bench includes two parts to diagnose whether LMMs are masters at ...
More and more large multimodal models (LMMs) are being released from time to time, but the finetuning of these models is not always straightforward. This codebase aims to provide a unified, minimal ...
Abstract: We introduce WildVideo, an open-world benchmark dataset designed to address how to assess hallucination of Large Multi-modal Models (LMMs) for understanding video-language interaction in the ...
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