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1
InPars: Unsupervised Dataset Generation for Information Ret..:
, In:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Bonifacio, Luiz
;
Abonizio, Hugo
;
Fadaee, Marzieh
. - p. 2387-2392 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477495.3531863
RT T1 <cTitle>Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>InPars: Unsupervised Dataset Generation for Information Retrieval</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3531863&Exemplar=1&LAN=DE A1 Bonifacio, Luiz A1 Abonizio, Hugo A1 Fadaee, Marzieh A1 Nogueira, Rodrigo PB ACM YR 2022 K1 few-shot models K1 generative models K1 large language models K1 multi-stage ranking K1 question generation 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 SP 2387 OP 2392 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477495.3531863 DO https://dl.acm.org/doi/10.1145/3477495.3531863 SF ELIB - SuUB Bremen
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