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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
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2026-03-05 20:51:43
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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency More Research MME-Survey 🔥 MMSearch 🔥 MathVerse 🔥 LLaMA-Adapter (V2) ImageBind-LLM Point-Bind & Point-LLM PerSAM CoMat MME-CoT Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Dongzhi Jiang* 1 , Renrui Zhang*† 1 , Ziyu Guo 2 , Yanwei Li ‡ 3 , Yu Qi ‡ 4 , Xinyan Chen ‡ 1 Liuhui Wang ‡ 5 , Jianhan Jin ‡ 6 , Claire Guo ‡ 7 , Shen Yan 3 , Bo Zhang 8 Chaoyou Fu 6 , Peng Gao 8 , Hongsheng Li 1 1 CUHK MMLab, 2 CUHK MiuLar Lab, 3 ByteDance, 4 NEU 5 UPenn, 6 NJU, 7 CUHK (Shenzhen), 8 Shanghai AI Laboratory ICML2025 Paper arXiv Code 🤗 Dataset 🔮 Visualize 🏆 Leaderboard Introduction Answering questions with Chain-of-Tho...
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