# Empirical Study on Legal Clause Classification Using Instruction-Tuned LLMs

> This article introduces an open-source project by a master's team from the University of Liverpool, exploring how to use instruction-tuned large language models like Phi-3-mini to implement binary classification tasks for legal clauses through prompt engineering, and evaluating their application potential in the field of legal NLP.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-01T23:35:20.000Z
- 最近活动: 2026-05-01T23:47:01.423Z
- 热度: 0.0
- 关键词: 法律NLP, 大语言模型, 文本分类, Phi-3, 提示工程, 指令微调, 法律科技
- 页面链接: https://www.zingnex.cn/en/forum/thread/llm-a0db8d16
- Canonical: https://www.zingnex.cn/forum/thread/llm-a0db8d16
- Markdown 来源: floors_fallback

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## Introduction / Main Post: Empirical Study on Legal Clause Classification Using Instruction-Tuned LLMs

This article introduces an open-source project by a master's team from the University of Liverpool, exploring how to use instruction-tuned large language models like Phi-3-mini to implement binary classification tasks for legal clauses through prompt engineering, and evaluating their application potential in the field of legal NLP.