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Making Pre-trained Language Models End-to-end Few-shot Learners with
  Contrastive Prompt Tuning

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

1 April 2022
Ziyun Xu
Chengyu Wang
Minghui Qiu
Fuli Luo
Runxin Xu
Songfang Huang
Jun Huang
    VLM
ArXivPDFHTML

Papers citing "Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning"

14 / 14 papers shown
Title
Prompt-Driven Continual Graph Learning
Prompt-Driven Continual Graph Learning
Qi Wang
Tianfei Zhou
Ye Yuan
Rui Mao
CLL
35
0
0
10 Feb 2025
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization
  for Language Models
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
Chengzhengxu Li
Xiaoming Liu
Zhaohan Zhang
Yichen Wang
Chen Liu
Y. Lan
Chao Shen
46
2
0
15 Jun 2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
Qizhou Chen
Taolin Zhang
Xiaofeng He
Dongyang Li
Chengyu Wang
Longtao Huang
Hui Xue
CLL
KELM
43
10
0
06 May 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
30
19
0
30 Mar 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual
  Knowledge for In-Context Learning
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
J. Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
KELM
26
4
0
26 Sep 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
27
13
0
15 Mar 2023
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
36
342
0
13 May 2022
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language
  Processing
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
Chengyu Wang
Minghui Qiu
Chen Shi
Taolin Zhang
Tingting Liu
Lei Li
J. Wang
Ming Wang
Jun Huang
W. Lin
11
21
0
30 Apr 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
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
805
0
14 Oct 2021
WARP: Word-level Adversarial ReProgramming
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
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,916
0
31 Dec 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
251
2,012
0
28 Jul 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,450
0
18 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,587
0
21 Jan 2020
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