File Download

There are no files associated with this item.

Supplementary

Conference Paper: Selective Annotation Makes Language Models Better Few-Shot Learners

TitleSelective Annotation Makes Language Models Better Few-Shot Learners
Authors
Su, HongjinKasai, JungoWu, Chen HenryShi, WeijiaWang, TianluXin, JiayiZhang, RuiOstendorf, MariZettlemoyer, LukeSmith, Noah AYu, Tao
Issue Date1-May-2023
Persistent Identifierhttp://hdl.handle.net/10722/337405

 

DC FieldValueLanguage
dc.contributor.authorSu, Hongjin-
dc.contributor.authorKasai, Jungo-
dc.contributor.authorWu, Chen Henry-
dc.contributor.authorShi, Weijia-
dc.contributor.authorWang, Tianlu-
dc.contributor.authorXin, Jiayi-
dc.contributor.authorZhang, Rui-
dc.contributor.authorOstendorf, Mari-
dc.contributor.authorZettlemoyer, Luke-
dc.contributor.authorSmith, Noah A-
dc.contributor.authorYu, Tao-
dc.date.accessioned2024-03-11T10:20:37Z-
dc.date.available2024-03-11T10:20:37Z-
dc.date.issued2023-05-01-
dc.identifier.urihttp://hdl.handle.net/10722/337405-
dc.languageeng-
dc.relation.ispartofInternational Conference on Learning Representations (ICLR 2023) (01/05/2023-05/05/2023, Kigali, Rwanda)-
dc.titleSelective Annotation Makes Language Models Better Few-Shot Learners-
dc.typeConference_Paper-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats