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2026-03-03 12:48:27
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ConTextual Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models Accepted at ICML 2024 (Main Track), CVPR 2024 (Workshops) 🎉 Rohan Wadhawan * 1 , Hritik Bansal * 1 , Kai-Wei Chang 1 , Nanyun Peng 1 1 University of California Los Angeles * Equal Contribution arXiv Code 🤗 Dataset 🏆 Leaderboard 🌐 Twitter Abstract Recent advancements in AI have led to the development of large multimodal models (LMMs) capable of processing complex tasks involving joint reasoning over text and visual content in the image (e.g., navigating maps in public places). This paper introduces ConTextual, a novel benchmark comprising instructions designed explicitly to evaluate LMMs' ability to perform context-sensitive text-rich visual reasoning. ConTextual emphasizes diverse real-world scenarios (e.g., time-reading, navigation, shopping and more) demanding a deeper understanding of the int...
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