FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language
Models

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

2 October 2023

Ziyue Xu

Yiran Chen

Papers citing "FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models"

10 / 10 papers shown

Title
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Tianyi Zhou Qinghua Lu Shanshan Ye Jing Jiang OODD 31 0 0 02 May 2025
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 44 83 0 27 Jun 2023
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 206 604 0 14 Oct 2021
Paradigm Shift in Natural Language Processing Tianxiang Sun Xiangyang Liu Xipeng Qiu Xuanjing Huang 100 71 0 26 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 254 2,999 0 18 Apr 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 229 302 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 223 1,649 0 31 Dec 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 211 1,281 0 18 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 228 1,382 0 21 Jan 2020
NeMo: a toolkit for building AI applications using Neural Modules Oleksii Kuchaiev Jason Chun Lok Li Huyen Nguyen Oleksii Hrinchuk Ryan Leary ... Jack Cook P. Castonguay Mariya Popova Jocelyn Huang Jonathan M. Cohen 151 232 0 14 Sep 2019