@inproceedings{shah-etal-2023-adept,
title = "{ADEPT}: Adapter-based Efficient Prompt Tuning Approach for Language Models",
author = "Shah, Aditya and
Thapa, Surendrabikram and
Jain, Aneesh and
Huang, Lifu",
editor = "Sadat Moosavi, Nafise and
Gurevych, Iryna and
Hou, Yufang and
Kim, Gyuwan and
Kim, Young Jin and
Schuster, Tal and
Agrawal, Ameeta",
booktitle = "Proceedings of the Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)",
month = jul,
year = "2023",
address = "Toronto, Canada (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.sustainlp-1.8/",
doi = "10.18653/v1/2023.sustainlp-1.8",
pages = "121--128"
}
Markdown (Informal)
[ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models](https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.sustainlp-1.8/) (Shah et al., sustainlp 2023)
ACL