Can Large Language Models Capture Dissenting Human Voices?

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dc.contributor.authorLee, Noahko
dc.contributor.authorAn, Na Minko
dc.contributor.authorThorne, Jamesko
dc.date.accessioned2023-12-12T07:00:31Z-
dc.date.available2023-12-12T07:00:31Z-
dc.date.created2023-12-12-
dc.date.issued2023-12-09-
dc.identifier.citationEmpirical Methods in Natural Language Processing, EMNLP 2023-
dc.identifier.urihttp://hdl.handle.net/10203/316281-
dc.languageEnglish-
dc.publisherAssociation for Computational Linguistics-
dc.titleCan Large Language Models Capture Dissenting Human Voices?-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameEmpirical Methods in Natural Language Processing, EMNLP 2023-
dc.identifier.conferencecountrySI-
dc.identifier.conferencelocationResorts World Convention Centre-
dc.contributor.localauthorThorne, James-
dc.contributor.nonIdAuthorLee, Noah-
dc.contributor.nonIdAuthorAn, Na Min-
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AI-Conference Papers(학술대회논문)
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