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

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Choi, Yunseon, Bae, Sangmin, Ban, Seonghyun, Jeong, Minchan, Zhang, Chuheng, Song, Lei, Zhao, Li, Bian, Jiang, Kim, Kee-Eung
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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