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Knowledge-infused Legal Wisdom: Navigating LLM Consultation Through The Lens Of Diagnostics And Positive-unlabeled Reinforcement Learning

Abstract

The integration of generative Large Language Models (LLMs) into various applications, including the legal domain, has been accelerated by their expansive and versatile nature. However, when facing a legal case, users without a legal background often struggle to formulate professional queries and may inadvertently overlook critical legal factors when presenting their case narrative to LLMs. To addr

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