Empirical Study on Legal Clause Classification Using Instruction-Tuned LLMs

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.