Black-box Prompt Tuning with Subspace Learning

Black-box Prompt Tuning with Subspace Learning

4 May 2023

Peng Li

Yang Liu

Papers citing "Black-box Prompt Tuning with Subspace Learning"

9 / 9 papers shown

Title
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization Yuyan Chen Zhihao Wen Ge Fan Zhengyu Chen Wei Yu Wu Dayiheng Liu Zhixu Li Bang Liu Yanghua Xiao 31 17 0 04 Jul 2024
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges Wang Chao Jiaxuan Zhao Licheng Jiao Lingling Li Fang Liu Shuyuan Yang 54 13 0 19 Jan 2024
Learning a Better Initialization for Soft Prompts via Meta-Learning Yukun Huang Kun Qian Zhou Yu VLM 28 8 0 25 May 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models Tianxiang Sun Zhengfu He Hong Qian Yunhua Zhou Xuanjing Huang Xipeng Qiu 100 53 0 23 May 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 134 276 0 15 Oct 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017