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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 / 2,701 papers shown
Title
ADEPT: A DEbiasing PrompT Framework
ADEPT: A DEbiasing PrompT Framework
Ke Yang
Charles Yu
Yi R. Fung
Pengfei Yu
Heng Ji
139
27
0
10 Nov 2022
MACSum: Controllable Summarization with Mixed Attributes
MACSum: Controllable Summarization with Mixed Attributes
Yusen Zhang
Yang Liu
Ziyi Yang
Yuwei Fang
Yulong Chen
Dragomir R. Radev
Chenguang Zhu
Michael Zeng
Rui Zhang
90
17
0
09 Nov 2022
Creative Writing with an AI-Powered Writing Assistant: Perspectives from
  Professional Writers
Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers
Daphne Ippolito
Ann Yuan
Andy Coenen
Sehmon Burnam
114
101
0
09 Nov 2022
Zero-Label Prompt Selection
Zero-Label Prompt Selection
Chonghua Liao
Yanan Zheng
Zhilin Yang
VLM
61
7
0
09 Nov 2022
ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
Jinta Weng
Yifan Deng
D. D. Li
Hao You
Yue Hu
Heyan Huang
70
1
0
08 Nov 2022
Multi-Head Adapter Routing for Cross-Task Generalization
Multi-Head Adapter Routing for Cross-Task Generalization
Lucas Caccia
Edoardo Ponti
Zhan Su
Matheus Pereira
Nicolas Le Roux
Alessandro Sordoni
64
23
0
07 Nov 2022
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for
  Unsupervised Sentence Embedding
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding
Jiali Zeng
Yongjing Yin
Yu Jiang
Shuangzhi Wu
Yunbo Cao
SSL
78
13
0
07 Nov 2022
On the Domain Adaptation and Generalization of Pretrained Language
  Models: A Survey
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Xu Guo
Han Yu
LM&MAVLM
145
30
0
06 Nov 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek Abdelzaher
Jiawei Han
VLM
122
49
0
06 Nov 2022
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce
  Entity Typing
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing
Yibo Wang
Congying Xia
Guan Wang
Philip Yu
75
6
0
04 Nov 2022
Understanding and Mitigating Overfitting in Prompt Tuning for
  Vision-Language Models
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
Cheng Ma
Yang Liu
Jiankang Deng
Lingxi Xie
Weiming Dong
Changsheng Xu
VLMVPVLM
106
47
0
04 Nov 2022
Time-aware Prompting for Text Generation
Time-aware Prompting for Text Generation
Shuyang Cao
Lu Wang
77
12
0
03 Nov 2022
Could Giant Pretrained Image Models Extract Universal Representations?
Could Giant Pretrained Image Models Extract Universal Representations?
Yutong Lin
Ze Liu
Zheng Zhang
Han Hu
Nanning Zheng
Stephen Lin
Yue Cao
VLM
106
9
0
03 Nov 2022
Transformers on Multilingual Clause-Level Morphology
Transformers on Multilingual Clause-Level Morphology
Emre Can Acikgoz
T. Chubakov
Muge Kural
Gozde Gul cSahin
Deniz Yuret
75
4
0
03 Nov 2022
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised
  Knowledge-Grounded Conversation
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation
Yanyang Li
Jianqiao Zhao
Michael R. Lyu
Liwei Wang
90
16
0
03 Nov 2022
Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary
  Object Detection
Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection
Yanxin Long
Jianhua Han
Runhu Huang
Xu Hang
Yi Zhu
Chunjing Xu
Xiaodan Liang
VLMObjD
121
20
0
02 Nov 2022
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental
  Learning
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
Yixuan Pei
Zhiwu Qing
Jun Cen
Xiang Wang
Shiwei Zhang
Yaxiong Wang
Mingqian Tang
Nong Sang
Xueming Qian
78
13
0
02 Nov 2022
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New
  Speakers
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers
Cheng-Ping Hsieh
Subhankar Ghosh
Boris Ginsburg
106
18
0
01 Nov 2022
Generating Sequences by Learning to Self-Correct
Generating Sequences by Learning to Self-Correct
Sean Welleck
Ximing Lu
Peter West
Faeze Brahman
T. Shen
Daniel Khashabi
Yejin Choi
LRM
118
238
0
31 Oct 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
Yaqing Wang
Sahaj Agarwal
Subhabrata Mukherjee
Xiaodong Liu
Jing Gao
Ahmed Hassan Awadallah
Jianfeng Gao
MoE
131
136
0
31 Oct 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Avyav Kumar Singh
Ekaterina Shutova
H. Yannakoudakis
VLM
89
0
0
31 Oct 2022
Parameter-Efficient Tuning Makes a Good Classification Head
Parameter-Efficient Tuning Makes a Good Classification Head
Zhuoyi Yang
Ming Ding
Yanhui Guo
Qingsong Lv
Jie Tang
VLM
110
14
0
30 Oct 2022
Differentiable Data Augmentation for Contrastive Sentence Representation
  Learning
Differentiable Data Augmentation for Contrastive Sentence Representation Learning
Tianduo Wang
Wei Lu
SSL
72
10
0
29 Oct 2022
STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot
  Classification
STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification
Jinta Weng
Yue Hu
Jing Qiu
Heyan Huan
VLM
75
0
0
29 Oct 2022
Parameter-efficient transfer learning of pre-trained Transformer models
  for speaker verification using adapters
Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters
Junyi Peng
Themos Stafylakis
Rongzhi Gu
Oldvrich Plchot
Ladislav Movsner
Lukávs Burget
JanHonza'' vCernocký
148
22
0
28 Oct 2022
Contrastive Decoding: Open-ended Text Generation as Optimization
Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Percy Liang
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
186
375
0
27 Oct 2022
Multi-lingual Evaluation of Code Generation Models
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun
Sanjay Krishna Gouda
Zijian Wang
Xiaopeng Li
Yuchen Tian
...
Baishakhi Ray
Parminder Bhatia
Sudipta Sengupta
Dan Roth
Bing Xiang
ELM
195
177
0
26 Oct 2022
Incorporating Pre-training Paradigm for Antibody Sequence-Structure
  Co-design
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design
Kaiyuan Gao
Lijun Wu
Jinhua Zhu
Tianbo Peng
Yingce Xia
...
Shufang Xie
Tao Qin
Haiguang Liu
Kun He
Tie-Yan Liu
97
10
0
26 Oct 2022
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning
Yifan Chen
Devamanyu Hazarika
Mahdi Namazifar
Yang Liu
Di Jin
Dilek Z. Hakkani-Tür
78
4
0
26 Oct 2022
Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in
  Financial Sentiment Analysis
Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis
Sudhandar Balakrishnan
Yihao Fang
Xioadan Zhu
55
1
0
26 Oct 2022
Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Jean-Baptiste Döderlein
Nguessan Hermann Kouadio
M. Acher
D. Khelladi
B. Combemale
101
36
0
26 Oct 2022
Learning Better Intent Representations for Financial Open Intent
  Classification
Learning Better Intent Representations for Financial Open Intent Classification
Xianzhi Li
Will Aitken
Xiao-Dan Zhu
Stephen W. Thomas
AIFin
72
8
0
25 Oct 2022
This joke is [MASK]: Recognizing Humor and Offense with Prompting
This joke is [MASK]: Recognizing Humor and Offense with Prompting
Junze Li
Mengjie Zhao
Yubo Xie
Antonis Maronikolakis
Pearl Pu
Hinrich Schütze
AAML
61
1
0
25 Oct 2022
Parameter-Efficient Legal Domain Adaptation
Parameter-Efficient Legal Domain Adaptation
Jonathan Li
R. Bhambhoria
Xiao-Dan Zhu
ELMAILawALM
106
14
0
25 Oct 2022
Evaluating Parameter Efficient Learning for Generation
Evaluating Parameter Efficient Learning for Generation
Peng Xu
M. Patwary
Shrimai Prabhumoye
Virginia Adams
R. Prenger
Ming-Yu Liu
Nayeon Lee
Mohammad Shoeybi
Bryan Catanzaro
MoE
72
3
0
25 Oct 2022
Towards Better Few-Shot and Finetuning Performance with Forgetful Causal
  Language Models
Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models
Hao Liu
Xinyang Geng
Lisa Lee
Igor Mordatch
Sergey Levine
Sharan Narang
Pieter Abbeel
KELMCLL
99
2
0
24 Oct 2022
Different Tunes Played with Equal Skill: Exploring a Unified
  Optimization Subspace for Delta Tuning
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning
Jing Yi
Weize Chen
Yujia Qin
Yankai Lin
Ning Ding
Xu Han
Zhiyuan Liu
Maosong Sun
Jie Zhou
118
2
0
24 Oct 2022
Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings
Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings
Sedrick Scott Keh
50
7
0
24 Oct 2022
Generative Knowledge Graph Construction: A Review
Generative Knowledge Graph Construction: A Review
Hongbin Ye
Ningyu Zhang
Hui Chen
Huajun Chen
135
75
0
23 Oct 2022
Unsupervised Non-transferable Text Classification
Unsupervised Non-transferable Text Classification
Guangtao Zeng
Wei Lu
108
6
0
23 Oct 2022
Model ensemble instead of prompt fusion: a sample-specific knowledge
  transfer method for few-shot prompt tuning
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
Xiangyu Peng
Chen Xing
Prafulla Kumar Choubey
Chien-Sheng Wu
Caiming Xiong
VLM
137
12
0
23 Oct 2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Kristy Choi
Chris Cundy
Sanjari Srivastava
Stefano Ermon
BDL
123
43
0
22 Oct 2022
Exploring The Landscape of Distributional Robustness for Question
  Answering Models
Exploring The Landscape of Distributional Robustness for Question Answering Models
Anas Awadalla
Mitchell Wortsman
Gabriel Ilharco
Sewon Min
Ian H. Magnusson
Hannaneh Hajishirzi
Ludwig Schmidt
ELMOODKELM
126
21
0
22 Oct 2022
Generative Prompt Tuning for Relation Classification
Generative Prompt Tuning for Relation Classification
Jiale Han
Shuai Zhao
Bo Cheng
Shengkun Ma
Wei Lu
VLM
106
27
0
22 Oct 2022
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual
  Understanding With Multilingual Language Models
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
Lifu Tu
Caiming Xiong
Yingbo Zhou
VLMAAMLLRM
150
28
0
22 Oct 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of
  Rewards
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards
Yekun Chai
Shuohuan Wang
Yu Sun
Hao Tian
Hua Wu
Haifeng Wang
VLM
104
17
0
21 Oct 2022
Efficiently Tuned Parameters are Task Embeddings
Efficiently Tuned Parameters are Task Embeddings
Wangchunshu Zhou
Canwen Xu
Julian McAuley
58
8
0
21 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee
Annie S. Chen
Fahim Tajwar
Ananya Kumar
Huaxiu Yao
Percy Liang
Chelsea Finn
OOD
139
216
0
20 Oct 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
Xiangyang Liu
Tianxiang Sun
Xuanjing Huang
Xipeng Qiu
VLM
105
29
0
20 Oct 2022
Towards Sustainable Self-supervised Learning
Towards Sustainable Self-supervised Learning
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
CLL
137
7
0
20 Oct 2022
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