A new multimodal benchmark evaluates chain-of-thought reasoning quality, robustness, and efficiency in large vision-language models, finding CoT often hurts perception tasks and that many reflection steps are unhelpful.
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MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
A new multimodal benchmark evaluates chain-of-thought reasoning quality, robustness, and efficiency in large vision-language models, finding CoT often hurts perception tasks and that many reflection steps are unhelpful.