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English(EN) Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: A Comparative Study

大型语言模型在增值税法法律决策方面展现潜力,但仍存在局限性

一项发表在arXiv上的新研究探讨了使用大型语言模型(LLMs)协助奥地利和欧盟增值税法的法律决策。该研究评估了微调和检索增强生成(RAG)方法,以提高LLMs在教科书案例和真实案例上的表现。虽然LLMs在自动化常规任务和为税务专业人士提供初步分析方面显示出潜力,但研究得出结论,由于法律领域的敏感性以及幻觉的风险,它们尚未准备好实现完全自动化。 AI

影响 大型语言模型有潜力自动化常规法律任务,但目前的局限性要求在敏感领域进行人工监督。

排序理由 学术论文,详细介绍了LLMs在特定法律领域的实验评估。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

大型语言模型在增值税法法律决策方面展现潜力,但仍存在局限性

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学术论文,详细介绍了LLMs在特定法律领域的实验评估。[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) · Marina Luketina, Andrea Benkel, Christoph G. Schuetz ·

    使用大型语言模型进行奥地利增值税法决策:一项比较研究

    arXiv:2507.08468v2 Announce Type: replace Abstract: This paper provides an experimental evaluation of the capability of large language models (LLMs) to assist in legal decision-making within the framework of Austrian and European Union value-added tax (VAT) law. In tax consulting…