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English(EN) Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?

大型语言模型代理模仿权力不平衡对话中的人类社会认知效应

一项新的研究论文调查了大型语言模型(LLMs)在权力不平衡的对话中是否会表现出与人类相似的社会认知效应。该研究模拟了多轮对话,为LLMs分配了高地位或低地位的角色,并分析了语言协调、代词使用、说服成功率以及对不安全请求的遵从度。研究结果表明,LLMs确实表现出了权力的关键社会认知效应,尽管存在一些差异,并将这些模拟互动与有益和潜在有害的行为联系起来。 AI

影响 揭示了大型语言模型在权力不平衡的沟通中可能表现出类似人类的偏见,突显了不安全遵从的风险。

排序理由 学术论文发表在arXiv上,详细介绍了实验结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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大型语言模型代理模仿权力不平衡对话中的人类社会认知效应

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学术论文发表在arXiv上,详细介绍了实验结果。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Snigdha Chaturvedi ·

    大型语言模型代理是否会模仿权力不对称对话中的社会认知效应?

    Power differences shape human communication through well documented socio cognitive effects, including language coordination, pronoun usage, authority bias, and harmful compliance. We examine whether large language models (LLMs) exhibit similar behaviors when assigned high or low…