Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval

With the advancement of information retrieval (IR) technologies, robustness is increasingly attracting attention. When deploying technology into practice, we consider not only its average performance under normal conditions but, more importantly, its ability to maintain functionality across a variety of exceptional situations. In recent years, the research on IR robustness covers theory, evaluation, methodology, and application, and all of them show a growing trend. The purpose of this workshop is to systematize the latest results of each research aspect, to foster comprehensive communication within this niche domain while also bridging robust IR research with the broader community, and to promote further future development of robust IR. To avoid the one-sided talk of mini-conferences, this workshop adopts a highly interactive format, including round-table and panel discussion sessions, to encourage active participation and meaningful exchange among attendees.

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Publication Details

Published
2025-07-13
DOI
https://doi.org/10.1145/3726302.3730355
Citations
1
Primary Topic
Machine Learning and Algorithms
Type
article
Field-Weighted Citation Impact
2.48
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Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval

Moshe Tennenholtz, Ruqing Zhang, Oren Kurland, Jiafeng Guo et al.
1 citations
Machine Learning and Algorithms
2.48
article

Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval

Moshe Tennenholtz, Ruqing Zhang, Oren Kurland, Jiafeng Guo, Haya Nachimovsky, Yu-An Liu
article en
1 citations

Abstract

With the advancement of information retrieval (IR) technologies, robustness is increasingly attracting attention. When deploying technology into practice, we consider not only its average performance under normal conditions but, more importantly, its ability to maintain functionality across a variety of exceptional situations. In recent years, the research on IR robustness covers theory, evaluation, methodology, and application, and all of them show a growing trend. The purpose of this workshop is to systematize the latest results of each research aspect, to foster comprehensive communication within this niche domain while also bridging robust IR research with the broader community, and to promote further future development of robust IR. To avoid the one-sided talk of mini-conferences, this workshop adopts a highly interactive format, including round-table and panel discussion sessions, to encourage active participation and meaningful exchange among attendees.

Technion – Israel Institute of Technology (IL), Chinese Academy of Sciences (CN)
Openalex Percentile: Top 10%
Machine Learning and Algorithms
2.48
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