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BEIR: heterogeneous zero-shot retrieval evaluation

Standardized cross-domain retrieval evaluation over diverse query/document forms, relevance labels and tasks, comparing lexical, dense and reranking approaches beyond their training domains.

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Standardized cross-domain retrieval evaluation over diverse query/document forms, relevance labels and tasks, comparing lexical, dense and reranking approaches beyond their training domains.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Original v1 has17evaluation datasets and reports MS-MARCO separately, excluding it from the zero-shot comparison; later dataset counts are not substituted. General benchmark/protocol contribution only: included biomedical corpora do not become biological or medical achievements. Dataset selection and source-reported scores are not a guarantee of all-domain robustness.

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People and systems

Nandan Thakur; Nils Reimers; Andreas Rücklé; Abhishek Srivastava; Iryna Gurevych

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

BEIR: heterogeneous zero-shot retrieval evaluation

Standardized cross-domain retrieval evaluation over diverse query/document forms, relevance labels and tasks, comparing lexical, dense and reranking approaches beyond their training domains.

Scientific scope

Original v1 has17evaluation datasets and reports MS-MARCO separately, excluding it from the zero-shot comparison; later dataset counts are not substituted. General benchmark/protocol contribution only: included biomedical corpora do not become biological or medical achievements. Dataset selection and source-reported scores are not a guarantee of all-domain robustness.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Nandan Thakur; Nils Reimers; Andreas Rücklé; Abhishek Srivastava; Iryna Gurevych

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources