SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts

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]

Abstract

Abstract is missing.