Black-box Prompt Learning for Pre-trained Language Models

Black-box Prompt Learning for Pre-trained Language Models

21 January 2022

Yong Lin

Tong Zhang

Papers citing "Black-box Prompt Learning for Pre-trained Language Models"

18 / 18 papers shown

Title
FLOPS: Forward Learning with OPtimal Sampling Tao Ren Zishi Zhang Jinyang Jiang Guanghao Li Zeliang Zhang Mingqian Feng Yijie Peng 37 1 0 08 Oct 2024
CPT: Consistent Proxy Tuning for Black-box Optimization Yuanyang He Zitong Huang Xinxing Xu Rick Siow Mong Goh Salman Khan W. Zuo Yong Liu Chun-Mei Feng 42 0 0 01 Jul 2024
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking Melvin Wong Jiao Liu Thiago Rios Stefan Menzel Yew-Soon Ong 55 2 0 21 Jun 2024
A Bayesian approach for prompt optimization in pre-trained language models Antonio Sabbatella Andrea Ponti Antonio Candelieri I. Giordani F. Archetti 34 1 0 01 Dec 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya-Qin Zhang Dacheng Tao OffRL 28 14 0 16 May 2023
Active Prompting with Chain-of-Thought for Large Language Models Shizhe Diao Pengcheng Wang Yong Lin Tong Zhang ReLM KELM LLMAG LRM 31 120 0 23 Feb 2023
Technical Report -- Competition Solution for Prompt Tuning using Pretrained Language Model Jiang-Long Song Wuhe Zou Feng Li Xiaolei Qin Weidong Zhang 28 0 0 13 Dec 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models Ning Ding Yujia Qin Guang Yang Fu Wei Zonghan Yang ... Jianfei Chen Yang Liu Jie Tang Juan Li Maosong Sun 32 196 0 14 Mar 2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models Shengnan An Yifei Li Zeqi Lin Qian Liu Bei Chen Qiang Fu Weizhu Chen Nanning Zheng Jian-Guang Lou VLM AAML 39 39 0 07 Mar 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 137 277 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 238 806 0 14 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 279 1,124 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018