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ReviewPilot system automates systematic literature reviews with multi-agent approach

A new multi-agent system called ReviewPilot has been developed to automate the process of screening scholarly works and extracting data for systematic literature reviews. This system, which follows the PRISMA workflow, allows researchers to define criteria and schemas through dialogue and maintains a project memory for configurations. ReviewPilot has demonstrated superior performance compared to single-prompt LLMs and another system called AgentSLR in epidemiological reviews, achieving high F1 scores for both screening and extraction. AI

IMPACT Automates complex research workflows, potentially accelerating scientific discovery by improving efficiency and accuracy in literature analysis.

RANK_REASON The cluster describes a research paper detailing a novel multi-agent system for a specific scientific task.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

ReviewPilot system automates systematic literature reviews with multi-agent approach

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The cluster describes a research paper detailing a novel multi-agent system for a specific scientific task.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zhaoqian Xue, Shaoze Zhou, Xuexin Li, Junting Mu, Haozheng Liu, Zhongyin Wang, Yichun He, Renkai Ma, Hao Zhou, Sarah Bratt, Siyuan Ma, Chen Chen, Lingyao Li ·

    ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews

    arXiv:2610.21042v1 Announce Type: cross Abstract: Systematic literature reviews follow the PRISMA process of screening scholarly works and extracting evidence from included studies. Deep research tools based on large language models (LLMs) can search and summarize the literature …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Lingyao Li ·

    ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews

    Systematic literature reviews follow the PRISMA process of screening scholarly works and extracting evidence from included studies. Deep research tools based on large language models (LLMs) can search and summarize the literature but do not record which studies are excluded or wh…