清华、牛津与斯坦福论文 Thinking Inertia：LLM 被要求不思考时仍在推理
清华、牛津与斯坦福的论文《Thinking Inertia: LLMs Keep Thinking When Told Not To》发现，即使关闭思考模式，LLM 仍会持续显式推理，开放性问题尤其明显。
Rohan Paul· @rohanpaul_ai · X·2026-10-10 12:10· 34 分钟前AI 评分54
AI 导读
清华、牛津与斯坦福的论文《Thinking Inertia: LLMs Keep Thinking When Told Not To》（arxiv.org/abs/2610.11765）发现，即使关闭思考模式，LLM 仍会持续显式推理，开放性问题尤其明显。
正文
New Tsinghua, Oxford, and Stanford paper finds that LLMs keep reasoning out loud even with thinking turned off, especially on open-ended questions.
With thinking disabled, DeepSeek-V4-Flash still wrote out reasoning in 99.9% of open-ended answers. A missing think tag or a short reply does not prove the model skipped reasoning.
Yes/no questions are easy to answer directly, multiple-choice questions sit in the middle, and open-ended ones keep pulling the model back into reasoning.
Forcing answer-only replies on open-ended tasks raised compliance to about 40% across 5 models but cut accuracy by about 15 points.
– arxiv. org/abs/2610.11765
Title: "Thinking Inertia: LLMs Keep Thinking When Told Not To"
来源：Rohan Paul · x.com
来源：RadarAI · aihot.news