Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL Yunseon Choi author Sangmin Bae author Seonghyun Ban author Minchan Jeong author Chuheng Zhang author Lei Song author Li Zhao author Jiang Bian author Kee-Eung Kim author 2024-08 text Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Lun-Wei Ku editor Andre Martins editor Vivek Srikumar editor Association for Computational Linguistics Bangkok, Thailand conference publication choi-etal-2024-hard 10.18653/v1/2024.acl-long.449 https://aclanthology.org/2024.acl-long.449/ 2024-08 8252 8271