June 7, 2024, 4:51 a.m. | Yang Wu, Chenghao Wang, Ece Gumusel, Xiaozhong Liu

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.03600v1 Announce Type: new
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 address this issue, we propose the Diagnostic Legal Large Language Model (D3LM), which utilizes adaptive lawyer-like diagnostic questions to …

abstract applications arxiv case cs.ai cs.cl diagnostics domain generative however integration knowledge language language models large language large language models legal lens llm llms nature positive professional reinforcement reinforcement learning struggle through type

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