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New AI System PASS Predicts Manuscript Publication Venues

Researchers have developed a new agentic AI system called PASS (Publication-oriented Agentic Scientific System) designed to assist scientists in navigating the manuscript publication process. PASS analyzes a manuscript's content and its surrounding literature context to predict suitable publication venues and assess factors like impact potential and novelty. In evaluations across numerous biomedical fields, PASS demonstrated high accuracy in venue prediction, outperforming existing LLM baselines and journal-selection tools, and showed strong agreement with human researchers. AI

IMPACT This system could streamline the academic publishing process, allowing researchers to focus more on scientific discovery.

RANK_REASON The item describes a new research paper introducing a novel AI system and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New AI System PASS Predicts Manuscript Publication Venues

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The item describes a new research paper introducing a novel AI system and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jiawen Chen, Zichen Zhang, Bingxuan Li, Quan Sun, Yiyan Zhang, Edric Tam, Jinjie Lin, Didong Li, Yun Li, Bingxin Zhao ·

    Positioning manuscripts in the scientific landscape with agentic AI

    arXiv:2609.13760v1 Announce Type: new Abstract: Publishing a research manuscript is a routine yet demanding part of scientific life: time-consuming, stressful, and often uncertain in outcome. Recent advances in large language model (LLM)-based agentic AI have shown promise across…