UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. Mao, Y., Mathias, L., Hou, R., Almahairi, A., Ma, H., Han, J., Yih, S., & Khabsa, M. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6253–6264, Dublin, Ireland, May, 2022. Association for Computational Linguistics.
Paper doi bibtex @inproceedings{mao_unipelt_2022,
address = {Dublin, Ireland},
title = {{UniPELT}: {A} {Unified} {Framework} for {Parameter}-{Efficient} {Language} {Model} {Tuning}},
url = {https://aclanthology.org/2022.acl-long.433},
doi = {10.18653/v1/2022.acl-long.433},
booktitle = {Proceedings of the 60th {Annual} {Meeting} of the {Association} for {Computational} {Linguistics} ({Volume} 1: {Long} {Papers})},
publisher = {Association for Computational Linguistics},
author = {Mao, Yuning and Mathias, Lambert and Hou, Rui and Almahairi, Amjad and Ma, Hao and Han, Jiawei and Yih, Scott and Khabsa, Madian},
month = may,
year = {2022},
pages = {6253--6264},
}
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