English(EN) Retrieve-then-Disambiguate: Scalable Reviewer Discovery

新算法通过匹配出版物来辅助审稿人发现

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-29 18:00

一种名为 Retrieve-then-Disambiguate 的新开源算法已被开发出来，以应对识别适合科学同行评审的研究人员日益增长的挑战。该算法将审稿人发现视为一个检索问题，通过查找相似的出版物来识别相关研究人员，并将模糊的作者姓名解析为唯一的身份。在对天文学和物理学出版物进行测试时，该算法成功找回了相当比例的第一作者、合著者和被引用研究人员。 AI

影响通过改进审稿人识别，可以简化同行评审过程。

排序理由该条目是一篇在 arXiv 上发表的关于新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目是一篇在 arXiv 上发表的关于新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 12 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Wolfgang E. Kerzendorf · 2026-10-29 18:00

Retrieve-then-Disambiguate: 可扩展的审稿人发现

The growing number of scientific submissions is straining the peer review process, while a large pool of relevant researchers remains unidentified and is therefore not considered as potential reviewers. We formulate the discovery of these researchers as a retrieval problem: given…

本文如何被排名

报道来源 [1]

Retrieve-then-Disambiguate: 可扩展的审稿人发现

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