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PPT: Pre-trained Prompt Tuning for Few-shot Learning

PPT: Pre-trained Prompt Tuning for Few-shot Learning

9 September 2021
Yuxian Gu
Xu Han
Zhiyuan Liu
Minlie Huang
    VLM
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Papers citing "PPT: Pre-trained Prompt Tuning for Few-shot Learning"

50 / 204 papers shown
Title
Prompt Tuning for Generative Multimodal Pretrained Models
Prompt Tuning for Generative Multimodal Pretrained Models
Han Yang
Junyang Lin
An Yang
Peng Wang
Chang Zhou
Hongxia Yang
VLM
LRM
VPVLM
37
30
0
04 Aug 2022
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification
  for Patronizing and Condescending Language Detection
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection
Yong Deng
Chenxiao Dou
Liangyu Chen
D. Miao
Xianghui Sun
Baochang Ma
Xiangang Li
20
7
0
02 Aug 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code
  Intelligence
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang
Yuanhang Yang
Cuiyun Gao
Yun Peng
Hongyu Zhang
Michael R. Lyu
AAML
67
134
0
24 Jul 2022
STT: Soft Template Tuning for Few-Shot Adaptation
STT: Soft Template Tuning for Few-Shot Adaptation
Ping Yu
Wei Wang
Chunyuan Li
Ruiyi Zhang
Zhanpeng Jin
Changyou Chen
VLM
16
0
0
18 Jul 2022
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation
  and Instance Generation
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation
Jiaxin Huang
Yu Meng
Jiawei Han
39
20
0
28 Jun 2022
MVP: Multi-task Supervised Pre-training for Natural Language Generation
MVP: Multi-task Supervised Pre-training for Natural Language Generation
Tianyi Tang
Junyi Li
Wayne Xin Zhao
Ji-Rong Wen
43
24
0
24 Jun 2022
Towards Unified Conversational Recommender Systems via
  Knowledge-Enhanced Prompt Learning
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Xiaolei Wang
Kun Zhou
Ji-Rong Wen
Wayne Xin Zhao
HAI
AI4TS
35
131
0
19 Jun 2022
Instance-wise Prompt Tuning for Pretrained Language Models
Instance-wise Prompt Tuning for Pretrained Language Models
Yuezihan Jiang
Hao Yang
Junyang Lin
Hanyu Zhao
An Yang
Chang Zhou
Hongxia Yang
Zhi-Xin Yang
Bin Cui
VLM
36
7
0
04 Jun 2022
Prefix Conditioning Unifies Language and Label Supervision
Prefix Conditioning Unifies Language and Label Supervision
Kuniaki Saito
Kihyuk Sohn
Xinming Zhang
Chun-Liang Li
Chen-Yu Lee
Kate Saenko
Tomas Pfister
VLM
CLIP
34
16
0
02 Jun 2022
Prompt-based Learning for Unpaired Image Captioning
Prompt-based Learning for Unpaired Image Captioning
Peipei Zhu
Tianlin Li
Lin Zhu
Zhenglong Sun
Weishi Zheng
Yaowei Wang
C. L. P. Chen
VLM
23
31
0
26 May 2022
Leveraging QA Datasets to Improve Generative Data Augmentation
Leveraging QA Datasets to Improve Generative Data Augmentation
Dheeraj Mekala
Tu Vu
Timo Schick
Jingbo Shang
19
18
0
25 May 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng
Jianyu Wang
Cheng-Ping Hsieh
Yihan Wang
Han Guo
Tianmin Shu
Meng Song
Eric P. Xing
Zhiting Hu
27
319
0
25 May 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning
Learning a Better Initialization for Soft Prompts via Meta-Learning
Yukun Huang
Kun Qian
Zhou Yu
VLM
47
9
0
25 May 2022
Many-Class Text Classification with Matching
Many-Class Text Classification with Matching
Yi-Fan Song
Yuxian Gu
Minlie Huang
VLM
17
1
0
23 May 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
BBTv2: Towards a Gradient-Free Future with Large Language Models
Tianxiang Sun
Zhengfu He
Hong Qian
Yunhua Zhou
Xuanjing Huang
Xipeng Qiu
108
53
0
23 May 2022
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language
  Understanding
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Rishabh Bhardwaj
Amrita Saha
S. Hoi
Soujanya Poria
VLM
VPVLM
22
7
0
23 May 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot
  Learners
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Canyu Chen
Kai Shu
VLM
31
8
0
18 May 2022
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
50
344
0
13 May 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than
  In-Context Learning
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu
Derek Tam
Mohammed Muqeeth
Jay Mohta
Tenghao Huang
Joey Tianyi Zhou
Colin Raffel
35
849
0
11 May 2022
Towards Unified Prompt Tuning for Few-shot Text Classification
Towards Unified Prompt Tuning for Few-shot Text Classification
J. Wang
Chengyu Wang
Fuli Luo
Chuanqi Tan
Minghui Qiu
Fei Yang
Qiuhui Shi
Songfang Huang
Ming Gao
VLM
35
28
0
11 May 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training
Improving In-Context Few-Shot Learning via Self-Supervised Training
Mingda Chen
Jingfei Du
Ramakanth Pasunuru
Todor Mihaylov
Srini Iyer
Ves Stoyanov
Zornitsa Kozareva
SSL
AI4MH
38
63
0
03 May 2022
Polyglot Prompt: Multilingual Multitask PrompTraining
Polyglot Prompt: Multilingual Multitask PrompTraining
Jinlan Fu
See-Kiong Ng
Pengfei Liu
29
7
0
29 Apr 2022
Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text
  Generation
Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation
Kexin Yang
Dayiheng Liu
Wenqiang Lei
Baosong Yang
Mingfeng Xue
Boxing Chen
Jun Xie
38
29
0
28 Apr 2022
On the Limitations of Dataset Balancing: The Lost Battle Against
  Spurious Correlations
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
Roy Schwartz
Gabriel Stanovsky
32
25
0
27 Apr 2022
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
Xiaochen Liu
Yang Gao
Yu Bai
Jiawei Li
Yinan Hu
Yang Gao
Boxing Chen
40
22
0
09 Apr 2022
Match-Prompt: Improving Multi-task Generalization Ability for Neural
  Text Matching via Prompt Learning
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning
Shicheng Xu
Liang Pang
Huawei Shen
Xueqi Cheng
VLM
33
17
0
06 Apr 2022
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating
  Controlled Text Generation
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
Pei Ke
Hao Zhou
Yankai Lin
Peng Li
Jie Zhou
Xiaoyan Zhu
Minlie Huang
21
37
0
02 Apr 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
VLM
AI4TS
23
448
0
24 Mar 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models
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
Towards Visual-Prompt Temporal Answering Grounding in Medical
  Instructional Video
Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video
Bin Li
Yixuan Weng
Bin Sun
Shutao Li
35
24
0
13 Mar 2022
Continual Prompt Tuning for Dialog State Tracking
Continual Prompt Tuning for Dialog State Tracking
Qi Zhu
Bing Li
Fei Mi
Xiaoyan Zhu
Minlie Huang
CLL
KELM
32
57
0
13 Mar 2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
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
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
Guanzheng Chen
Fangyu Liu
Zaiqiao Meng
Shangsong Liang
26
88
0
16 Feb 2022
Co-training Improves Prompt-based Learning for Large Language Models
Co-training Improves Prompt-based Learning for Large Language Models
Hunter Lang
Monica Agrawal
Yoon Kim
David Sontag
VLM
LRM
169
39
0
02 Feb 2022
Protum: A New Method For Prompt Tuning Based on "[MASK]"
Protum: A New Method For Prompt Tuning Based on "[MASK]"
Pan He
Yuxi Chen
Yan Wang
Yanru Zhang
AAML
27
3
0
28 Jan 2022
Ontology-enhanced Prompt-tuning for Few-shot Learning
Ontology-enhanced Prompt-tuning for Few-shot Learning
Hongbin Ye
Ningyu Zhang
Shumin Deng
Xiang Chen
Hui Chen
Feiyu Xiong
Xi Chen
Huajun Chen
127
62
0
27 Jan 2022
Black-Box Tuning for Language-Model-as-a-Service
Black-Box Tuning for Language-Model-as-a-Service
Tianxiang Sun
Yunfan Shao
Hong Qian
Xuanjing Huang
Xipeng Qiu
VLM
50
256
0
10 Jan 2022
VL-Adapter: Parameter-Efficient Transfer Learning for
  Vision-and-Language Tasks
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung
Jaemin Cho
Joey Tianyi Zhou
VLM
VPVLM
35
343
0
13 Dec 2021
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge
  Augmentation
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
Jiaying Gong
Hoda Eldardiry
22
7
0
08 Dec 2021
OpenPrompt: An Open-source Framework for Prompt-learning
OpenPrompt: An Open-source Framework for Prompt-learning
Ning Ding
Shengding Hu
Weilin Zhao
Yulin Chen
Zhiyuan Liu
Haitao Zheng
Maosong Sun
VLM
LLMAG
28
284
0
03 Nov 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
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
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
UniPELT: A Unified Framework for Parameter-Efficient Language Model
  Tuning
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Yuning Mao
Lambert Mathias
Rui Hou
Amjad Almahairi
Hao Ma
Jiawei Han
Wen-tau Yih
Madian Khabsa
6
185
0
14 Oct 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLM
CLIP
101
984
0
09 Oct 2021
Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation
Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation
Chujie Zheng
Minlie Huang
59
44
0
14 Sep 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
205
104
0
15 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization
  for Relation Extraction
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen
Ningyu Zhang
Xin Xie
Shumin Deng
Yunzhi Yao
Chuanqi Tan
Fei Huang
Luo Si
Huajun Chen
35
401
0
15 Apr 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
243
1,919
0
31 Dec 2020
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