Joon-Young Choi, Junho Kim, Jun-Hyung Park, Wing-Lam Mok, SangKeun Lee 0001. SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 14306-14316, Association for Computational Linguistics, 2023. [doi]
@inproceedings{ChoiKPM023,
title = {SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts},
author = {Joon-Young Choi and Junho Kim and Jun-Hyung Park and Wing-Lam Mok and SangKeun Lee 0001},
year = {2023},
url = {https://aclanthology.org/2023.emnlp-main.884},
researchr = {https://researchr.org/publication/ChoiKPM023},
cites = {0},
citedby = {0},
pages = {14306-14316},
booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
publisher = {Association for Computational Linguistics},
isbn = {979-8-89176-060-8},
}