DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Haeju | ko |
dc.contributor.author | Jeong, Minchan | ko |
dc.contributor.author | Yun, Seyoung | ko |
dc.contributor.author | Kim, Kee-Eung | ko |
dc.date.accessioned | 2023-12-08T02:01:27Z | - |
dc.date.available | 2023-12-08T02:01:27Z | - |
dc.date.created | 2023-12-07 | - |
dc.date.created | 2023-12-07 | - |
dc.date.created | 2023-12-07 | - |
dc.date.issued | 2023-12-08 | - |
dc.identifier.citation | The 2023 Conference on Empirical Methods in Natural Language Processing | - |
dc.identifier.uri | http://hdl.handle.net/10203/316044 | - |
dc.language | English | - |
dc.publisher | 2023 Association for Computational Linguistics | - |
dc.title | Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | The 2023 Conference on Empirical Methods in Natural Language Processing | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Resorts World Convention Centre | - |
dc.contributor.localauthor | Yun, Seyoung | - |
dc.contributor.localauthor | Kim, Kee-Eung | - |
dc.contributor.nonIdAuthor | Lee, Haeju | - |
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