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Large Language Model Papers·2026
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Thinking Inertia: LLMs Keep Thinking When Told Not To

Dianqiao Lei, Kevin Qinghong Lin +3·Tsinghua University, University of Oxford +1

Measures when LLMs produce visible reasoning despite instructions not to, introducing three response-level metrics (Empty-Thinking Rate, Question–Pre-answer Relevance, Explicit Inference Rate) and evaluating 'no-thinking' behavior across tasks, models, and prompting interventions.

#LLM#reasoning#evaluation#benchmark#paper+3
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