Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards

21 October 2022

Papers citing "Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards"

5 / 5 papers shown

Title
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter Junhao Chen Bowen Wang Zhouqiang Jiang Yuta Nakashima 107 1 0 20 Aug 2024
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey Chen Ling Xujiang Zhao Jiaying Lu Chengyuan Deng Can Zheng ... Chris White Quanquan Gu Jian Pei Carl Yang Liang Zhao ALM 169 140 0 30 May 2023
Fine-Tuning Language Models with Just Forward Passes Sadhika Malladi Tianyu Gao Eshaan Nichani Alexandru Damian Jason D. Lee Danqi Chen Sanjeev Arora 167 205 0 27 May 2023
Small Language Models Improve Giants by Rewriting Their Outputs Giorgos Vernikos Arthur Bravzinskas Jakub Adamek Jonathan Mallinson Aliaksei Severyn Eric Malmi BDL LRM 94 16 0 22 May 2023
PromptBoosting: Black-Box Text Classification with Ten Forward Passes Bairu Hou J. O'Connor Jacob Andreas Shiyu Chang Yang Zhang VLM 57 44 0 19 Dec 2022