大模型能看懂视频并生成有用法律摘要，帮普通人写诉讼材料。
Can LLMs Create Legally Relevant Summaries and Analyses of Videos?
- 让大模型直接分析视频内容，自动生成法律摘要
- 71.7%的摘要被评高质量或中等质量
- 适合需要法律帮助但不会写文书的普通人
理解事件的法律相关事实并以文字表述，是法律专业人士的核心能力，对填写保险索赔单或撰写法院诉状等至关重要，但对普通人而言常有难度。当前AI方法多依赖用户先用文字描述事件，这对许多人仍具挑战。本文研究大语言模型（LLMs）理解视频中事件的能力。基于120个展示不同领域法律问题的YouTube视频，我们要求模型生成摘要并撰写法律信函。总体而言，71.7%的摘要被评为高或中等质量，结果令人鼓舞，为提升司法可及性等应用打开了新可能。
原文摘要 · Abstract (English)
Understanding the legally relevant factual basis of an event and conveying it through text is a key skill of legal professionals. This skill is important for preparing forms (e.g., insurance claims) or other legal documents (e.g., court claims), but often presents a challenge for laypeople. Current AI approaches aim to bridge this gap, but mostly rely on the user to articulate what has happened in text, which may be challenging for many. Here, we investigate the capability of large language models (LLMs) to understand and summarize events occurring in videos. We ask an LLM to summarize and draft legal letters, based on 120 YouTube videos showing legal issues in various domains. Overall, 71.7\% of the summaries were rated as of high or medium quality, which is a promising result, opening the door to a number of applications in e.g. access to justice.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。