March 6, 2024, 5:48 a.m. | Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.02959v1 Announce Type: new
Abstract: With the development of deep learning, natural language processing technology has effectively improved the efficiency of various aspects of the traditional judicial industry. However, most current efforts focus solely on individual judicial stage, overlooking cross-stage collaboration. As the autonomous agents powered by large language models are becoming increasingly smart and able to make complex decisions in real-world settings, offering new insights for judicial intelligence. In this paper, (1) we introduce SimuCourt, a judicial benchmark that …

abstract agents arxiv autonomous autonomous agents building collaboration cs.ai cs.cl current decision deep learning development documents efficiency focus industry language language models language processing large language large language models making natural natural language natural language processing processing stage technology type world

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