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OpenHospital arena benchmarks LLM collective intelligence

Researchers have developed OpenHospital, a novel interactive arena designed to evolve and benchmark collective intelligence in Large Language Model (LLM) agents. This platform facilitates the development of CI by enabling physician agents to interact with patient agents, employing a data-in-agent-self paradigm. The system aims to enhance agent capabilities and provide robust evaluation metrics for medical proficiency and system efficiency, demonstrating its effectiveness in fostering and quantifying CI. AI

IMPACT Provides a dedicated platform for evaluating and advancing LLM agent collective intelligence in a simulated medical environment.

RANK_REASON Academic paper introducing a new benchmark/arena for LLM agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [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…