Lifu Tu, Caiming Xiong, Yingbo Zhou. Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022. pages 5478-5485, Association for Computational Linguistics, 2022. [doi]
@inproceedings{TuXZ22,
title = {Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models},
author = {Lifu Tu and Caiming Xiong and Yingbo Zhou},
year = {2022},
url = {https://aclanthology.org/2022.findings-emnlp.401},
researchr = {https://researchr.org/publication/TuXZ22},
cites = {0},
citedby = {0},
pages = {5478-5485},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022},
editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
publisher = {Association for Computational Linguistics},
}