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English(EN) LUMEN: Cost-Transparent Multi-Agent Pipeline for Automated Systematic Review and Meta-Analysis

AI管道自动化系统性文献回顾和荟萃分析,降低成本

两篇新研究论文详细介绍了使用多智能体AI开发自动化系统性文献回顾和荟萃分析管道。第一篇,LUMEN,自动化了该过程的六个阶段,与已发表的荟萃分析在方向上达成一致,每篇文献回顾的成本为19-29美元。它强调,虽然多智能体设计改进了数据提取,但可能会阻碍筛选。第二个系统,meta-pipe,集成了包括手稿生成和过度声称检测在内的完整工作流程,每篇文献回顾的估计API成本为15-30美元。两个系统都强调了AI辅助证据综合的可行性,meta-pipe指出正式验证仍在进行中。 AI

影响 这些系统展示了AI在显著减少科学研究中证据综合的时间和成本方面的潜力。

排序理由 两篇在arXiv上发表的学术论文,描述了用于系统性文献回顾和荟萃分析的新AI系统。

在 arXiv cs.AI 阅读 →

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AI管道自动化系统性文献回顾和荟萃分析,降低成本

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yen-Hsun Huang (Department of Education, Taipei Veterans General Hospital, Taipei, Taiwan), Yu-Shiou Lin (Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan) ·

    LUMEN: Cost-Transparent Multi-Agent Pipeline for Automated Systematic Review and Meta-Analysis

    arXiv:2606.28362v1 Announce Type: cross Abstract: Systematic reviews and meta-analyses (SR/MA) remain the gold standard for evidence synthesis, yet completing one typically requires 67 weeks and substantial expert effort. Recent large language model (LLM) systems have demonstrate…

  2. arXiv cs.AI TIER_1 English(EN) · Hsieh-Ting Lin, Jiunn-Tyng Yeh ·

    meta-pipe: An LLM-agent pipeline for end-to-end automated systematic review and meta-analysis

    arXiv:2606.28363v1 Announce Type: cross Abstract: Objective: To describe the architecture and design rationale of meta-pipe, an open-source large language model (LLM)-agent pipeline that integrates the complete systematic review and meta-analysis (SR/MA) workflow -- from literatu…