RESEARCH

How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning

ArXiv cs.AI · Tue, 26 May 2026 04:00:00 GMT

arXiv:2605.23926v1 Announce Type: new Abstract: Reasoning-capable large language models solve hard problems by emitting long chains of thought, paying heavily in latency, GPU time, and energy. Casual inspection of their traces reveals extensive reformulation, verification, and ci

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