English(EN) A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs

新的大型语言模型方法利用思维之树增强法律判决摘要

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-26 12:46

研究人员开发了一种使用大型语言模型（LLMs）对法律案件判决进行摘要的新混合方法。该方法结合了提取式和生成式摘要技术，并受到思维之树框架的启发。使用DeepSeek和LLama模型进行的实验表明，这种新颖的提取式-生成式提示比单独使用传统的提取式或生成式方法能产生更优的摘要。 AI

影响这项研究可以提高法律专业人士在法律文件分析方面的效率和准确性。

排序理由该集群包含一篇详细介绍大型语言模型摘要新方法的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CL TIER_1 English(EN) · Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh · 2026-06-29 04:00

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs

arXiv:2606.28044v1 Announce Type: new Abstract: In recent times, Large Language Models (LLMs) are increasingly being used for legal case judgement summarization. Most prior works have tried traditional extractive and abstractive summarization of case judgements. However, hybrid o…
arXiv cs.CL TIER_1 English(EN) · Saptarshi Ghosh · 2026-06-26 12:46

一种受思维之树启发的混合方法，用于使用大型语言模型进行法律案件判决摘要

In recent times, Large Language Models (LLMs) are increasingly being used for legal case judgement summarization. Most prior works have tried traditional extractive and abstractive summarization of case judgements. However, hybrid or extractive-abstractive techniques have not bee…