Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding

Bolei Ma, Ercong Nie, Helmut Schmid, Hinrich Schuetze


Anthology ID:
2023.konvens-main.1
Volume:
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
Month:
September
Year:
2023
Address:
Ingolstadt, Germany
Editors:
Munir Georges, Aaricia Herygers, Annemarie Friedrich, Benjamin Roth
Venue:
KONVENS
SIG:
Publisher:
Association for Computational Lingustics
Note:
Pages:
1–16
Language:
URL:
https://aclanthology.org/2023.konvens-main.1
DOI:
Bibkey:
Cite (ACL):
Bolei Ma, Ercong Nie, Helmut Schmid, and Hinrich Schuetze. 2023. Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding. In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), pages 1–16, Ingolstadt, Germany. Association for Computational Lingustics.
Cite (Informal):
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding (Ma et al., KONVENS 2023)
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PDF:
https://aclanthology.org/2023.konvens-main.1.pdf