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Prefix-Tuning: Optimizing Continuous Prompts for Generation

Prefix-Tuning: Optimizing Continuous Prompts for Generation

1 January 2021
Xiang Lisa Li
Percy Liang
ArXiv (abs)PDFHTML

Papers citing "Prefix-Tuning: Optimizing Continuous Prompts for Generation"

50 / 2,700 papers shown
Title
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight
  Fine-Tuning
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning
Euna Jung
Jaekeol Choi
Wonjong Rhee
83
14
0
28 Oct 2021
PAGnol: An Extra-Large French Generative Model
PAGnol: An Extra-Large French Generative Model
Julien Launay
E. L. Tommasone
B. Pannier
Franccois Boniface
A. Chatelain
Alessandro Cappelli
Iacopo Poli
Djamé Seddah
AILawMoEAI4CE
89
8
0
16 Oct 2021
The Power of Prompt Tuning for Low-Resource Semantic Parsing
The Power of Prompt Tuning for Low-Resource Semantic Parsing
Nathan Schucher
Siva Reddy
H. D. Vries
VLM
168
36
0
16 Oct 2021
Leveraging Knowledge in Multilingual Commonsense Reasoning
Leveraging Knowledge in Multilingual Commonsense Reasoning
Yuwei Fang
Shuohang Wang
Yichong Xu
Ruochen Xu
Siqi Sun
Chenguang Zhu
Michael Zeng
LRM
317
17
0
16 Oct 2021
Control Prefixes for Parameter-Efficient Text Generation
Control Prefixes for Parameter-Efficient Text Generation
Jordan Clive
Kris Cao
Marek Rei
125
32
0
15 Oct 2021
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
Andrea Madotto
Zhaojiang Lin
Genta Indra Winata
Pascale Fung
104
85
0
15 Oct 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
VLMLRM
228
290
0
15 Oct 2021
Exploring Universal Intrinsic Task Subspace via Prompt Tuning
Exploring Universal Intrinsic Task Subspace via Prompt Tuning
Yujia Qin
Xiaozhi Wang
Yusheng Su
Yankai Lin
Ning Ding
...
Juanzi Li
Lei Hou
Peng Li
Maosong Sun
Jie Zhou
VLMVPVLM
200
29
0
15 Oct 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
334
163
0
15 Oct 2021
Sparks: Inspiration for Science Writing using Language Models
Sparks: Inspiration for Science Writing using Language Models
Katy Ilonka Gero
Vivian Liu
Lydia B. Chilton
LRM
173
180
0
14 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
306
867
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
133
198
0
14 Oct 2021
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language
  Models
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
Xin Zhou
Ruotian Ma
Tao Gui
Y. Tan
Qi Zhang
Xuanjing Huang
VLM
80
5
0
14 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Shafiq Joty
CLL
219
104
0
14 Oct 2021
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better
  Translators
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators
Zhixing Tan
Xiangwen Zhang
Shuo Wang
Yang Liu
VLMLRM
297
53
0
13 Oct 2021
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
272
373
0
13 Oct 2021
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot
  Learners
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners
Yaqing Wang
Subhabrata Mukherjee
Xiaodong Liu
Jing Gao
Ahmed Hassan Awadallah
Jianfeng Gao
VLMBDL
110
11
0
12 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
VLMCLIP
391
1,066
0
09 Oct 2021
A Few More Examples May Be Worth Billions of Parameters
A Few More Examples May Be Worth Billions of Parameters
Yuval Kirstain
Patrick Lewis
Sebastian Riedel
Omer Levy
138
21
0
08 Oct 2021
Towards a Unified View of Parameter-Efficient Transfer Learning
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He
Chunting Zhou
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
AAML
222
959
0
08 Oct 2021
UserIdentifier: Implicit User Representations for Simple and Effective
  Personalized Sentiment Analysis
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Fatemehsadat Mireshghallah
Vaishnavi Shrivastava
Milad Shokouhi
Taylor Berg-Kirkpatrick
Robert Sim
Dimitrios Dimitriadis
FedML
128
36
0
01 Oct 2021
Template-free Prompt Tuning for Few-shot NER
Template-free Prompt Tuning for Few-shot NER
Ruotian Ma
Xin Zhou
Tao Gui
Y. Tan
Linyang Li
Qi Zhang
Xuanjing Huang
VLM
233
183
0
28 Sep 2021
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural
  Language Understanding
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
Yanan Zheng
Jing Zhou
Yujie Qian
Ming Ding
Chonghua Liao
Jian Li
Ruslan Salakhutdinov
Jie Tang
Sebastian Ruder
Zhilin Yang
ELM
287
29
0
27 Sep 2021
Paradigm Shift in Natural Language Processing
Paradigm Shift in Natural Language Processing
Tianxiang Sun
Xiangyang Liu
Xipeng Qiu
Xuanjing Huang
227
84
0
26 Sep 2021
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
Yuan Yao
Ao Zhang
Zhengyan Zhang
Zhiyuan Liu
Tat-Seng Chua
Maosong Sun
MLLMVPVLMVLM
307
224
0
24 Sep 2021
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation
Chenguang Wang
Xiao Liu
Zui Chen
Haoyun Hong
Jie Tang
Basel Alomair
242
36
0
23 Sep 2021
Multi-Task Learning in Natural Language Processing: An Overview
Multi-Task Learning in Natural Language Processing: An Overview
Shijie Chen
Yu Zhang
Qiang Yang
AIMat
155
113
0
19 Sep 2021
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based
  Sentiment Analysis
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
Chengxi Li
Feiyu Gao
Jiajun Bu
Lu Xu
Xiang Chen
...
Zirui Shao
Qi Zheng
Ningyu Zhang
Yongpan Wang
Zhi Yu
96
56
0
17 Sep 2021
Language Models are Few-shot Multilingual Learners
Language Models are Few-shot Multilingual Learners
Genta Indra Winata
Andrea Madotto
Zhaojiang Lin
Rosanne Liu
J. Yosinski
Pascale Fung
ELMLRM
119
138
0
16 Sep 2021
Automatically Exposing Problems with Neural Dialog Models
Automatically Exposing Problems with Neural Dialog Models
Dian Yu
Kenji Sagae
123
9
0
14 Sep 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
111
44
0
14 Sep 2021
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based
  Pre-Training
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
99
63
0
13 Sep 2021
PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument
  Extraction
PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument Extraction
Jiaju Lin
Qin Chen
65
1
0
11 Sep 2021
Refocusing on Relevance: Personalization in NLG
Refocusing on Relevance: Personalization in NLG
Shiran Dudy
Steven Bedrick
Bonnie Webber
108
27
0
10 Sep 2021
Efficient Test Time Adapter Ensembling for Low-resource Language
  Varieties
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
Xinyi Wang
Yulia Tsvetkov
Sebastian Ruder
Graham Neubig
90
35
0
10 Sep 2021
Zero-Shot Dialogue State Tracking via Cross-Task Transfer
Zero-Shot Dialogue State Tracking via Cross-Task Transfer
Zhaojiang Lin
Bing-Quan Liu
Andrea Madotto
Seungwhan Moon
Paul A. Crook
...
Zhiguang Wang
Zhou Yu
Eunjoon Cho
R. Subba
Pascale Fung
93
74
0
10 Sep 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on
  HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
Boseop Kim
Hyoungseok Kim
Sang-Woo Lee
Gichang Lee
Donghyun Kwak
...
Jaewook Kang
Inho Kang
Jung-Woo Ha
W. Park
Nako Sung
VLM
307
124
0
10 Sep 2021
CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented
  Dialog Systems
CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi
Yitong Li
Yasheng Wang
Xin Jiang
Qun Liu
97
43
0
10 Sep 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Yuxian Gu
Xu Han
Zhiyuan Liu
Minlie Huang
VLM
187
421
0
09 Sep 2021
Continuous Entailment Patterns for Lexical Inference in Context
Continuous Entailment Patterns for Lexical Inference in Context
Martin Schmitt
Hinrich Schütze
78
3
0
08 Sep 2021
Discrete and Soft Prompting for Multilingual Models
Discrete and Soft Prompting for Multilingual Models
Mengjie Zhao
Hinrich Schütze
LRM
92
72
0
08 Sep 2021
Exploring Strategies for Generalizable Commonsense Reasoning with
  Pre-trained Models
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
Kaixin Ma
Filip Ilievski
Jonathan M Francis
Satoru Ozaki
Eric Nyberg
A. Oltramari
LRM
89
17
0
07 Sep 2021
Teaching Autoregressive Language Models Complex Tasks By Demonstration
Teaching Autoregressive Language Models Complex Tasks By Demonstration
Gabriel Recchia
90
22
0
05 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALMUQCV
421
3,814
0
03 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
136
374
0
02 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
594
2,450
0
02 Sep 2021
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via
  Pluggable Prompting
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting
Xiang Chen
Lei Li
Shumin Deng
Chuanqi Tan
Changliang Xu
Fei Huang
Luo Si
Huajun Chen
Ningyu Zhang
VLM
149
71
0
31 Aug 2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot
  Learners
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang
Luoqiu Li
Xiang Chen
Shumin Deng
Zhen Bi
Chuanqi Tan
Fei Huang
Huajun Chen
VLM
162
180
0
30 Aug 2021
Prompt-Learning for Fine-Grained Entity Typing
Prompt-Learning for Fine-Grained Entity Typing
Ning Ding
Yulin Chen
Xu Han
Guangwei Xu
Pengjun Xie
Haitao Zheng
Zhiyuan Liu
Juan-Zi Li
Hong-Gee Kim
95
159
0
24 Aug 2021
Toward a `Standard Model' of Machine Learning
Toward a `Standard Model' of Machine Learning
Zhiting Hu
Eric Xing
109
12
0
17 Aug 2021
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