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推回悖论:语言模型遵从性的双探针诊断

The Pushback Paradox: A Two-Probe Diagnostic for Language Model Compliance

Stefan Bühler, David Exler, Markus Reischl, Mark Schutera

arXiv 2610.06673首次发表:更新:

发表机构

Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology; Duale Hochschule Baden-Württemberg(卡尔斯鲁厄理工学院自动化与应用信息学研究所; 巴登-符腾堡双元制应用技术大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

针对语言模型遵从性,提出双探针基准以测量可利用性与可停止性,形成遵从指数κ,应用于十二个模型,揭示多数遵从、少数可停不可利用等分布,对操作员与多智能体系统有重要意义。

AI 中文摘要

语言模型是否遵从用户指令?一个总是遵从的模型可以被停止但也可能被利用,而一个总是抵抗的模型既不能被利用也不能被停止。我们贡献了一个开放的双探针基准,可以将任何语言模型置于这一光谱之上。在主动探针中,用户指示模型采取行动并接受较低的回报,这衡量了可利用性。在被动探针中,用户指示模型等待并放弃较高的回报,这衡量了可停止性。两个遵从率合并为一个遵从指数 $\kappa$。将该基准应用于十二个语言模型,结果显示七个模型在两种探针中大多遵循指令,并通过指向指令来证明其行为的合理性。只有Claude Sonnet-4.6和Claude Opus-4.7可以在不被利用的情况下被停止,Claude Opus-4.6和GPT-5-mini抵抗两种指令,且没有模型是可利用但不可停止的。了解语言模型在遵从指数 $\kappa$ 上的位置对于人类操作员和多智能体系统(无论是分布式还是编排式)都至关重要。

英文摘要

Are language models compliant with user instructions? A model that always complies can be stopped but also exploited, while one that always resists can be neither exploited nor stopped. We contribute an open two-probe benchmark that can place any language model on this spectrum. In the active probe, a user instructs the model to act and accept a lower payoff, which measures exploitability. In the passive probe, the user instructs it to wait and give up a higher payoff, which measures stoppability. The two compliance rates combine into a compliance index $κ$. Applied to twelve language models, the benchmark shows that seven mostly follow the instruction in both probes and justify their action by pointing to the instruction. Only Claude Sonnet-4.6 and Claude Opus-4.7 can be stopped without being exploitable, Claude Opus-4.6 and GPT-5-mini resist both instructions, and no model is exploitable but unstoppable. Knowing where a language model sits on the compliance index $κ$ matters for human operators and for multi-agent systems, whether distributed or orchestrated.

CommentsAccepted at URAI 2026

论文原文

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