MapHub: Daily Relevance Heatmaps of New arXiv Preprints for a Research Community
Kaili Cao, Camille Avestruz, Feige Wang
原文摘要
MapHub, the MIDAS arXiv Preprint Hub, assesses each day's new arXiv submissions for every participant in a research community, with a large language model reading each paper against portfolios built for the participants. It publishes the relevance scores, from 0 to 100, as a heatmap that shows whose work each paper touches. In the authors' blind ratings, the top 10\% of papers by MapHub's scores held about 70\% of the raters' own top 5\%, pooled, against about a third for a text-matching baseline. About 6\% of a day's astro-ph papers reach 30 for each participant, and one every three days reaches 60. MapHub runs on a standard Claude subscription and is designed to be useful for any field: https://github.com/kailicao/maphub-public.
astro-ph.IM · cs.DL · cs.IR