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English(EN) CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation

新的混合方法评估中文法律文本风格

研究人员开发了CLASE,一种新颖的混合方法,用于评估大型语言模型生成的中文法律文本的风格质量。该方法结合了基于语言特征的分数和LLM-as-a-judge(将LLM作为裁判)的分数,通过学习真实的法律文件及其LLM恢复的对应文本的对比对。CLASE旨在以透明、无参考的方式捕捉表面特征和隐含的风格规范,与人类判断的一致性高于传统指标和纯粹的LLM-as-a-judge方法。该系统还提供可解释的分数细分和改进建议,为法律文本生成中的专业风格评估提供实用的解决方案。 AI

影响 为评估AI生成的法律文本提供了一种更准确、更具可解释性的方法,有望提高LLM在法律应用中的质量和可信度。

排序理由 关于评估AI生成法律文本新方法的学术论文。[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 →

新的混合方法评估中文法律文本风格

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关于评估AI生成法律文本新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yiran Rex Ma, Yuxiao Ye, Huiyuan Xie ·

    CLASE:一种用于中文法律文本风格评估的混合方法

    arXiv:2602.12639v2 Announce Type: replace Abstract: Legal text generated by large language models (LLMs) can usually achieve reasonable factual accuracy, but it frequently fails to adhere to the specialised stylistic norms and linguistic conventions of legal writing. In order to …