与大型语言模型进行角色扮演
Role-Play with Large Language Models
AI总结：
本文提出用角色扮演概念描述对话智能体行为，以避免拟人化，并以欺骗和自我意识两个案例说明该方法。
摘要：
随着对话智能体在表现上越来越接近人类，我们必须开发有效的方法，在不陷入拟人化陷阱的前提下，以高层次术语描述它们的行为。本文提出了角色扮演这一核心概念。将对话智能体的行为置于角色扮演的框架中，使我们能够借助熟悉的民间心理学术语，同时不将语言模型实际上并不具备的人类特征归因于它们。本文以这种方式处理了对话智能体行为的两个重要案例，即（表面上的）欺骗和（表面上的）自我意识。
英文摘要：
As dialogue agents become increasingly human-like in their performance, it is imperative that we develop effective ways to describe their behaviour in high-level terms without falling into the trap of anthropomorphism. In this paper, we foreground the concept of role-play. Casting dialogue agent behaviour in terms of role-play allows us to draw on familiar folk psychological terms, without ascribing human characteristics to language models they in fact lack. Two important cases of dialogue agent behaviour are addressed this way, namely (apparent) deception and (apparent) self-awareness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
