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Evaluation Ethics of LLMs in Legal Domain
March 19, 2024, 4:53 a.m. | Ruizhe Zhang, Haitao Li, Yueyue Wu, Qingyao Ai, Yiqun Liu, Min Zhang, Shaoping Ma
cs.CL updates on arXiv.org arxiv.org
Abstract: In recent years, the utilization of large language models for natural language dialogue has gained momentum, leading to their widespread adoption across various domains. However, their universal competence in addressing challenges specific to specialized fields such as law remains a subject of scrutiny. The incorporation of legal ethics into the model has been overlooked by researchers. We asserts that rigorous ethic evaluation is essential to ensure the effective integration of large language models in legal …
abstract adoption arxiv challenges cs.ai cs.cl dialogue domain domains ethics evaluation fields however language language models large language large language models law legal llms natural natural language type universal
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