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English(EN) OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence

OpenHospital竞技场评估LLM集体智能

研究人员开发了OpenHospital,一个新颖的交互式竞技场,旨在演进和评估大型语言模型(LLM)代理的集体智能。该平台通过允许医生代理与患者代理进行交互,采用“数据在代理自身中”的范式,促进了集体智能的发展。该系统旨在增强代理能力,并为医学熟练度和系统效率提供稳健的评估指标,证明了其在培养和量化集体智能方面的有效性。 AI

影响 提供了一个专门的平台,用于在模拟医疗环境中评估和推进LLM代理的集体智能。

排序理由 学术论文,介绍了一个新的LLM代理基准/竞技场。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Peigen Liu, Rui Ding, Yuren Mao, Ziyan Jiang, Yuxiang Ye, Yunjun Gao, Ying Zhang, Renjie Sun, Longbin Lai, Zhengping Qian ·

    OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence

    arXiv:2603.14771v3 Announce Type: replace Abstract: Large Language Model (LLM)-based Collective Intelligence (CI) presents a promising approach to overcoming the data wall and continuously boosting the capabilities of LLM agents. However, there is currently no dedicated arena for…