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Evaluating mathematical reasoning of foundation models in visual contexts

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MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? More Research MathVista ๐Ÿ”ฅ LLaMA-Adapter (V2) ๐Ÿ”ฅ SPHINX-X ๐Ÿ”ฅ ImageBind-LLM SPHINX Point-Bind & Point-LLM PerSAM MathCoder CSV MathVerse Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? Renrui Zhang* 1 , 2 , Dongzhi Jiang* 1 , Yichi Zhang* 2 , Haokun Lin 2 , Ziyu Guo 2 , 3 , Pengshuo Qiu 2 , Aojun Zhou 1 , Pan Lu 4 , Kai-Wei Chang 4 Peng Gao 2 Hongsheng Li 1 1 CUHK MMLab, 2 Shanghai AI Laboratory, 3 CUHK MiuLar Lab, 4 University of California, Los Angeles Paper arXiv Code ๐Ÿค— Dataset ๐Ÿ”ฎ Visualize ๐Ÿ† Leaderboard Introduction The remarkable progress of Multi-modal Large Language Models (MLLMs) has garnered unparalleled attention, due to their superior performance in visual contexts. How...

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