cs.IR · 2026-07-19 · No. 58

Information Retrieval, 2026-07-19.

1 new papers in cs.IR. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Does generative AI supersede supervised XMLC? A Benchmark Study on Automated Subject Indexing with German Scientific Literature

    Maximilian Kähler, Katja Konermann, Lisa Kluge, Markus Schumacher

    cs.IR · cs.AI · cs.CL

    With a large controlled vocabulary as the label set, the task of automated subject indexing in a library can be understood as a multi-label classification task. If the set of subject terms is large, the problem fits the Extreme Multi-Label Classification (XMLC) objective. In this study, we apply a selection of specialised supervised XMLC methods to the test case of subject indexing contemporary German scientific literature, collected at the...

    arxiv.org/abs/2607.14882 · PDF

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