English(EN) How Do LLMs Understand Legal Philosophy? Diagnosing Legal-Philosophical Reasoning in LLMs

新基准评估大型语言模型对法律哲学的理解

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员推出了LePhilBench，这是一个旨在评估大型语言模型（LLMs）在法律哲学理解和推理应用方面能力的新基准。该基准包含两项任务和一个包含220份美国最高法院判例的数据集，由受过法律培训的标注员对法律哲学进行了详细标注。这项工作旨在弥合在理解大型语言模型法律哲学推理能力方面的差距，这对于准确的法律人工智能应用至关重要。 AI

影响该基准可能催生出能够进行细致推理的更先进的法律人工智能工具。

排序理由该条目是一篇介绍新基准以评估大型语言模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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arXiv cs.CL TIER_1 English(EN) · Shuyuan Zheng, Yun-seo Lee, Xing Gao, Jialu Wu, Jiabao Hu, Katrina Qiyao Wang, Xinbo Lin, Qianying Liu, Chuan Xiao, Tao Huang · 2026-10-15 04:00

大型语言模型如何理解法哲学？诊断大型语言模型中的法哲学推理

arXiv:2610.19427v1 Announce Type: new Abstract: Legal reasoning is a fundamental capability for large language models (LLMs) to complete legal AI tasks such as legal judgment prediction. In legal practice, this reasoning is shaped by legal philosophy: a judge's view of the nature…

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大型语言模型如何理解法哲学？诊断大型语言模型中的法哲学推理

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