Workshop on Explainability in Information Retrieval

As models grow more complex and societal demands for transparency increase with emerging regulations, explainability has become an even more important research area. However, despite its recognized relevance, explainability research in IR has seen slower progress than in related fields. This full day workshop aims to advance research in explainable information retrieval by providing a more in-depth platform to reflect on recent developments and facilitate discussions to address new and persistent challenges. Our goal is to bring together a diverse group of researchers to build a shared understanding of key tasks and challenges that will lay the foundation for the future of explainable IR research.

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Publication Details

Published
2025-07-13
DOI
https://doi.org/10.1145/3726302.3730361
Citations
1
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
2.48
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article

Workshop on Explainability in Information Retrieval

Carsten Eickhoff, Suzan Verberne, Avishek Anand, Maria Heuss et al.
1 citations
Topic Modeling
2.48
article

Workshop on Explainability in Information Retrieval

Carsten Eickhoff, Suzan Verberne, Avishek Anand, Maria Heuss, Catherine Chen
article en
1 citations

Abstract

As models grow more complex and societal demands for transparency increase with emerging regulations, explainability has become an even more important research area. However, despite its recognized relevance, explainability research in IR has seen slower progress than in related fields. This full day workshop aims to advance research in explainable information retrieval by providing a more in-depth platform to reflect on recent developments and facilitate discussions to address new and persistent challenges. Our goal is to bring together a diverse group of researchers to build a shared understanding of key tasks and challenges that will lay the foundation for the future of explainable IR research.

Leiden University (NL), Brown University (US), Amsterdam University of the Arts (NL), University of Tübingen (DE), University of Amsterdam (NL), Delft University of Technology (NL)
Openalex Percentile: Top 10%
Topic Modeling
2.48
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