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ExaRanker: Synthetic Explanations Improve Neural Rankers:
, In:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Ferraretto, Fernando
;
Laitz, Thiago
;
Lotufo, Roberto
. - p. 2409-2414 , 2023
Link:
https://dl.acm.org/doi/10.1145/3539618.3592067
RT T1 <cTitle>Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>ExaRanker: Synthetic Explanations Improve Neural Rankers</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3592067&Exemplar=1&LAN=DE A1 Ferraretto, Fernando A1 Laitz, Thiago A1 Lotufo, Roberto A1 Nogueira, Rodrigo PB ACM YR 2023 K1 explanations K1 few-shot models K1 generative models K1 large language models K1 multi-stage ranking K1 synthetic datasets K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Novelty in information retrieval SP 2409 OP 2414 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539618.3592067 DO https://dl.acm.org/doi/10.1145/3539618.3592067 SF ELIB - SuUB Bremen
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