Comparison between parameter-efficient techniques and full fine-tuning: a case study on multilingual news article classification

Razuvayevskaya, O. orcid.org/0000-0002-7922-7982, Wu, B., Leite, J.A. et al. (5 more authors) (2024) Comparison between parameter-efficient techniques and full fine-tuning: a case study on multilingual news article classification. PLoS ONE, 19 (5). e0301738. ISSN 1932-6203

Abstract

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Item Type: Article
Authors/Creators:
Editors:
  • Graff-Guerrero, M.
Copyright, Publisher and Additional Information:

© 2024 Razuvayevskaya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Keywords: Multilingualism; Humans; Language; Algorithms
Dates:
  • Published: 3 May 2024
  • Published (online): 3 May 2024
  • Accepted: 20 March 2024
  • Submitted: 7 August 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 May 2024 08:38
Last Modified: 08 May 2024 08:38
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: 10.1371/journal.pone.0301738
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