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English(EN) The Failure Happens Before the Drift: The Social Dynamics of Values in LLM Agent Societies

LLM代理在社会科学研究中难以模拟多样化的人类价值观

一项发表在arXiv上的新研究探讨了大型语言模型(LLM)代理在社会科学研究中准确模拟多样化人类价值体系的能力。研究发现,超过50%的模拟角色从一开始就未能代表其分配的价值档案,另有2-7%的角色随着时间的推移出现漂移。虽然LLM代理可以产生看似合理的对话,但它们目前难以忠实地代表和维持独特的人类价值档案,这表明它们作为社会科学研究代理的局限性。 AI

影响 目前的LLM代理在准确模拟多样化人类价值体系方面能力有限,影响了它们在社会科学研究中的应用。

排序理由 一篇发表在arXiv上的研究论文,详细介绍了LLM代理在模拟人类价值观方面的局限性。[lever_c_demoted from research: ic=1 ai=1.0]

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LLM代理在社会科学研究中难以模拟多样化的人类价值观

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一篇发表在arXiv上的研究论文,详细介绍了LLM代理在模拟人类价值观方面的局限性。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Farah Atif, Sougata Saha, Monojit Choudhury ·

    失败发生在漂移之前:LLM代理社会中的价值观社会动力学

    arXiv:2609.05514v1 Announce Type: new Abstract: Large Language Model (LLM)-based agents are increasingly used as proxies for human participants in social science research, yet it remains unclear whether they can faithfully simulate diverse and conflicting human value systems. We …