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Thinking Inertia: LLMs Keep Thinking When Told Not To

208 upvotes · 8 OCT 2026 · Dianqiao Lei, Kevin Qinghong Lin, Pan Lu et al.

This paper investigates how Large Language Models (LLMs) behave when "told not to think", i.e., when instructed to produce answers without using reasoning. Practitioners might care about understanding how to control this behavior, as it can impact the accuracy of LLMs in certain tasks.

LLMsthinking modescontinual learningevaluation metricsquestion answeringreinforcement learning