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

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

20 July 2024

Lei Song

Jiang Bian

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

5 / 5 papers shown

Title
From General to Specific: Tailoring Large Language Models for Personalized Healthcare Ruize Shi Hong Huang Wei Zhou Kehan Yin Kai Zhao Yun Zhao LM&MA AI4MH 69 0 0 20 Dec 2024
Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models Zhijie Tan Xu Chu Weiping Li Tong Mo 13 1 0 22 Oct 2024
Eliciting Textual Descriptions from Representations of Continuous Prompts Dana Ramati Daniela Gottesman Mor Geva 22 0 0 15 Oct 2024
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 169 263 0 30 May 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021