WSDM CUP 2026: Multilingual Retrieval

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Authors: Dawn Lawrie, Sean MacAvaney, James Mayfield, Luca Soldaini, Eugene Yang, Andrew Yates
Cited by: 0
References: 1

Abstract

Multilingual retrieval has become a core functionality in information systems, such as retrieval-augmented generation, since the retrieved document can be post-processed by a large language model into a form that the users can easily consume. Whether the user can directly read the source documents becomes less vital to the search process. However, ad hoc retrieval has primarily been developed in English, limiting the capability of these complex systems to retrieve information across different languages. To address this challenge, we introduce a multilingual retrieval task at WSDM Cup 2026 that requires systems to search a multilingual collection using English queries.

Fields of Study & Subjects

Information Retrieval and Search Behavior Topic Modeling Natural Language Processing Techniques

Publication details

Journal / source
ACM International Conference on Web Search and Data Mining (WSDM)
Pages
1394–1395
Publication date
16 February 2026
Language
EN