论文标题
多语言法律判断预测的法律及时工程
Legal Prompt Engineering for Multilingual Legal Judgement Prediction
论文作者
论文摘要
法律及时工程（LPE）或法律提示是指导和协助大型语言模型（LLM）执行自然法律语言处理（NLLP）技能的过程。我们的目标是将LPE与LLM一起在长期法律文件上使用法律判决预测（LJP）任务。我们研究了欧洲人权法院（英语）和瑞士联邦最高法院（以德语，法语和意大利语）的案例文本（以英语）的案例文本（以德语，法语和意大利语）的形式研究零射LPE的表现。我们的结果表明，与基线相比，零射LPE更好，但与当前的最新监督方法相比，它仍然缺乏。然而，结果很重要，因为1）未使用明确的域特异性数据 - 因此，我们证明了通用LLM的传输可能是可以转移到法定域的，而2）LLM直接使用而无需进行任何进一步的培训或微调 - 又可以节省更多的计算成本。
Legal Prompt Engineering (LPE) or Legal Prompting is a process to guide and assist a large language model (LLM) with performing a natural legal language processing (NLLP) skill. Our goal is to use LPE with LLMs over long legal documents for the Legal Judgement Prediction (LJP) task. We investigate the performance of zero-shot LPE for given facts in case-texts from the European Court of Human Rights (in English) and the Federal Supreme Court of Switzerland (in German, French and Italian). Our results show that zero-shot LPE is better compared to the baselines, but it still falls short compared to current state of the art supervised approaches. Nevertheless, the results are important, since there was 1) no explicit domain-specific data used - so we show that the transfer to the legal domain is possible for general-purpose LLMs, and 2) the LLMs where directly applied without any further training or fine-tuning - which in turn saves immensely in terms of additional computational costs.
