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OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs

Summary by MarkTechPost
The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast, intuitive responses for easy problems and slower, analytical thinking for complex ones. While LRMs mimic slow, …
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MarkTechPost broke the news in on Sunday, June 15, 2025.
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