arXiv:2504.16092cs.CYcs.CL2025-04

LLM缺乏合作对话中的尊重,故无法真正理解语义。

Cooperative Speech, Semantic Competence, and AI

  • 以对话中的相互尊重为前提,论证语言模型不具合作性
  • 指出当前大模型无法进行有效断言,质疑其语义能力
  • 将语义理解与道德心理联系,拓展认知研究维度

合作性对话具有目的性,说话者的核心目标是传递知识。合作型说话者关心对话伙伴能否正确理解,这种态度体现为一种尊重。合作对话的理想状态是参与者彼此尊重,而这种相互尊重足以赋予对方某种道德地位:我们应当尊重那些尊重我们的人。尊重要求相互回应。本文认为,大型语言模型不应享有构成合作对话的那类尊重,否则我们将有义务予以回应。由此推论,现有大模型不具备合作对话者的资格,因而无法真正断言。这一结论引发对它们语义能力的深层质疑。该观点表明,意义理解不仅是认知心理学的研究主题,也是道德心理学的重要议题。

原文摘要 · Abstract (English)

Cooperative speech is purposive. From the speaker's perspective, one crucial purpose is the transmission of knowledge. Cooperative speakers care about getting things right for their conversational partners. This attitude is a kind of respect. Cooperative speech is an ideal form of communication because participants have respect for each other. And having respect within a cooperative enterprise is sufficient for a particular kind of moral standing: we ought to respect those who have respect for us. Respect demands reciprocity. I maintain that large language models aren't owed the kind of respect that partly constitutes a cooperative conversation. This implies that they aren't cooperative interlocutors, otherwise we would be obliged to reciprocate the attitude. Leveraging this conclusion, I argue that present-day LLMs are incapable of assertion and that this raises an overlooked doubt about their semantic competence. One upshot of this argument is that knowledge of meaning isn't just a subject for the cognitive psychologist. It's also a subject for the moral psychologist.

语言模型语义能力道德心理学对话系统

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