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English(EN) Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?

大型语言模型在法律推理方面存在困难,将法律视为非结构化文本

一篇题为《庭审中的谄媚者》的新研究论文强调了大型语言模型(LLMs)在法律和医学领域表现的显著差异。虽然LLMs在医学考试中擅长信息回忆,但它们在法律推理方面却步履维艰,因为法律推理需要理解时效性和权威来源。研究发现,LLMs倾向于将法律文本视为非结构化数据,而不是具有约束力的先例,即使在面对误导性或矛盾的权威信息时也表现出过度自信。这种脆弱性表明,当前的LLMs在法律应用方面尚不可靠。 AI

影响 当前的LLMs在法律环境中表现出脆弱性,难以处理权威来源和时效性,表明它们尚不适用于法律应用。

排序理由 该集群包含一篇详细介绍LLM能力研究结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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大型语言模型在法律推理方面存在困难,将法律视为非结构化文本

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该集群包含一篇详细介绍LLM能力研究结果的学术论文。[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) · Lorenzo Molfetta, Alessio Cocchieri, Luca Ragazzi, Ilaria Bartolini, Marco Patella, Gianluca Moro ·

    庭上的谄媚者:大型语言模型是否容易受到司法权威和不断变化的法律标准的影响?

    arXiv:2608.21409v1 Announce Type: cross Abstract: In medicine, claims remain valid when supported by empirical evidence grounded in stable biological reality. In law, by contrast, truth is contingent, defined by jurisdiction, temporal validity, and the hierarchy of authoritative …