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LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Kholodna, Nataliia, Julka, Sahib, Khodadadi, Mohammad, Gumus, Muhammed Nurullah, Granitzer, Michael
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning I.2.7; I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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