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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
ArXivPDFHTML

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

50 / 2,607 papers shown
Title
Efficiently Tuned Parameters are Task Embeddings
Efficiently Tuned Parameters are Task Embeddings
Wangchunshu Zhou
Canwen Xu
Julian McAuley
18
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
72
201
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
36
27
0
20 Oct 2022
Towards Sustainable Self-supervised Learning
Towards Sustainable Self-supervised Learning
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
CLL
58
7
0
20 Oct 2022
Prompting through Prototype: A Prototype-based Prompt Learning on
  Pretrained Vision-Language Models
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models
Yue Zhang
Hongliang Fei
Dingcheng Li
Tan Yu
Ping Li
VPVLM
VLM
27
9
0
19 Oct 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with
  Empirical Baseline Study
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Xin Xu
Xiang Chen
Ningyu Zhang
Xin Xie
Xi Chen
Huajun Chen
39
10
0
19 Oct 2022
BioGPT: Generative Pre-trained Transformer for Biomedical Text
  Generation and Mining
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
Renqian Luo
Liai Sun
Yingce Xia
Tao Qin
Sheng Zhang
Hoifung Poon
Tie-Yan Liu
MedIm
AI4CE
LM&MA
67
793
0
19 Oct 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability
Continued Pretraining for Better Zero- and Few-Shot Promptability
Zhaofeng Wu
IV RobertL.Logan
Pete Walsh
Akshita Bhagia
Dirk Groeneveld
Sameer Singh
Iz Beltagy
VLM
44
12
0
19 Oct 2022
Exclusive Supermask Subnetwork Training for Continual Learning
Exclusive Supermask Subnetwork Training for Continual Learning
Prateek Yadav
Joey Tianyi Zhou
CLL
35
5
0
18 Oct 2022
Hidden State Variability of Pretrained Language Models Can Guide
  Computation Reduction for Transfer Learning
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning
Shuo Xie
Jiahao Qiu
Ankita Pasad
Li Du
Qing Qu
Hongyuan Mei
42
16
0
18 Oct 2022
Tiny-Attention Adapter: Contexts Are More Important Than the Number of
  Parameters
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters
Hongyu Zhao
Hao Tan
Hongyuan Mei
MoE
44
16
0
18 Oct 2022
DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for
  Controllable Text Generation
DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation
Hanqing Zhang
Dawei Song
29
36
0
18 Oct 2022
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under
  Low-Resource Constraints
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints
Omid Rohanian
Hannah Jauncey
Mohammadmahdi Nouriborji
Vinod Kumar Chauhan
Bronner P. Gonccalves
Christiana Kartsonaki
Isaric Clinical Characterisation Group
L. Merson
David Clifton
32
7
0
17 Oct 2022
Mitigating Covertly Unsafe Text within Natural Language Systems
Mitigating Covertly Unsafe Text within Natural Language Systems
Alex Mei
Anisha Kabir
Sharon Levy
Melanie Subbiah
Emily Allaway
J. Judge
D. Patton
Bruce Bimber
Kathleen McKeown
William Yang Wang
55
13
0
17 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
38
250
0
17 Oct 2022
EventGraph: Event Extraction as Semantic Graph Parsing
EventGraph: Event Extraction as Semantic Graph Parsing
Huiling You
David Samuel
Samia Touileb
Lilja Ovrelid
29
9
0
16 Oct 2022
TestAug: A Framework for Augmenting Capability-based NLP Tests
TestAug: A Framework for Augmenting Capability-based NLP Tests
Guanqun Yang
Mirazul Haque
Qiaochu Song
Wei Yang
Xueqing Liu
ELM
34
0
0
14 Oct 2022
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
Tianxiang Sun
Zhengfu He
Qinen Zhu
Xipeng Qiu
Xuanjing Huang
VLM
VPVLM
25
20
0
14 Oct 2022
PCFG-based Natural Language Interface Improves Generalization for
  Controlled Text Generation
PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation
Jingyu Zhang
James R. Glass
Tianxing He
25
2
0
14 Oct 2022
Mind the Labels: Describing Relations in Knowledge Graphs With
  Pretrained Models
Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models
Zdeněk Kasner
Ioannis Konstas
Ondrej Dusek
42
6
0
13 Oct 2022
Predicting Fine-Tuning Performance with Probing
Predicting Fine-Tuning Performance with Probing
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
35
9
0
13 Oct 2022
Unified Vision and Language Prompt Learning
Unified Vision and Language Prompt Learning
Yuhang Zang
Wei Li
Kaiyang Zhou
Chen Huang
Chen Change Loy
VLM
VPVLM
14
149
0
13 Oct 2022
Feature-Proxy Transformer for Few-Shot Segmentation
Feature-Proxy Transformer for Few-Shot Segmentation
Jianwei Zhang
Yifan Sun
Yi Yang
Wei Chen
ViT
30
62
0
13 Oct 2022
Are Sample-Efficient NLP Models More Robust?
Are Sample-Efficient NLP Models More Robust?
Nelson F. Liu
Ananya Kumar
Percy Liang
Robin Jia
VLM
OOD
30
6
0
12 Oct 2022
Can Pretrained Language Models (Yet) Reason Deductively?
Can Pretrained Language Models (Yet) Reason Deductively?
Moy Yuan
Songbo Hu
Ivan Vulić
Anna Korhonen
Zaiqiao Meng
ReLM
ELM
LRM
42
8
0
12 Oct 2022
Visual Prompting for Adversarial Robustness
Visual Prompting for Adversarial Robustness
Aochuan Chen
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLM
VPVLM
45
32
0
12 Oct 2022
A Kernel-Based View of Language Model Fine-Tuning
A Kernel-Based View of Language Model Fine-Tuning
Sadhika Malladi
Alexander Wettig
Dingli Yu
Danqi Chen
Sanjeev Arora
VLM
78
63
0
11 Oct 2022
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of
  NLP Systems
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
Neeraj Varshney
Chitta Baral
30
27
0
11 Oct 2022
PromptEHR: Conditional Electronic Healthcare Records Generation with
  Prompt Learning
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
Zifeng Wang
Jimeng Sun
27
30
0
11 Oct 2022
Mind's Eye: Grounded Language Model Reasoning through Simulation
Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu
Jason W. Wei
S. Gu
Te-Yen Wu
Soroush Vosoughi
Claire Cui
Denny Zhou
Andrew M. Dai
ReLM
LRM
124
80
0
11 Oct 2022
Transformers generalize differently from information stored in context
  vs in weights
Transformers generalize differently from information stored in context vs in weights
Stephanie C. Y. Chan
Ishita Dasgupta
Junkyung Kim
D. Kumaran
Andrew Kyle Lampinen
Felix Hill
116
47
0
11 Oct 2022
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
Haw-Shiuan Chang
Ruei-Yao Sun
Kathryn Ricci
Andrew McCallum
43
15
0
10 Oct 2022
Visual Prompt Tuning for Test-time Domain Adaptation
Visual Prompt Tuning for Test-time Domain Adaptation
Yunhe Gao
Xingjian Shi
Yi Zhu
Hongya Wang
Zhiqiang Tang
Xiong Zhou
Mu Li
Dimitris N. Metaxas
VPVLM
VLM
37
83
0
10 Oct 2022
Hierarchical3D Adapters for Long Video-to-text Summarization
Hierarchical3D Adapters for Long Video-to-text Summarization
Pinelopi Papalampidi
Mirella Lapata
VGen
36
13
0
10 Oct 2022
Knowledge Prompts: Injecting World Knowledge into Language Models
  through Soft Prompts
Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts
Cicero Nogueira dos Santos
Zhe Dong
Daniel Cer
John Nham
Siamak Shakeri
Jianmo Ni
Yun-hsuan Sung
VLM
KELM
22
8
0
10 Oct 2022
Exploring Efficient-tuning Methods in Self-supervised Speech Models
Exploring Efficient-tuning Methods in Self-supervised Speech Models
Zih-Ching Chen
Chin-Lun Fu
Chih-Ying Liu
Shang-Wen Li
Hung-yi Lee
24
38
0
10 Oct 2022
Leveraging Key Information Modeling to Improve Less-Data Constrained
  News Headline Generation via Duality Fine-Tuning
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning
Zhuoxuan Jiang
Lingfeng Qiao
Di Yin
Shanshan Feng
Bo Ren
SyDa
35
2
0
10 Oct 2022
XPrompt: Exploring the Extreme of Prompt Tuning
XPrompt: Exploring the Extreme of Prompt Tuning
Fang Ma
Chen Zhang
Lei Ren
Jingang Wang
Qifan Wang
Wei Wu
Xiaojun Quan
Dawei Song
VLM
110
37
0
10 Oct 2022
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
Jiannan Xiang
Zhengzhong Liu
Yucheng Zhou
Eric P. Xing
Zhiting Hu
56
16
0
09 Oct 2022
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency
  of Adapters
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
Shwai He
Liang Ding
Daize Dong
Miao Zhang
Dacheng Tao
MoE
48
87
0
09 Oct 2022
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Feng Liang
Bichen Wu
Xiaoliang Dai
Kunpeng Li
Yinan Zhao
Hang Zhang
Peizhao Zhang
Peter Vajda
Diana Marculescu
CLIP
VLM
44
434
0
09 Oct 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of
  Large-Scale Pre-Trained Language Models
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
S. Kwon
Jeonghoon Kim
Jeongin Bae
Kang Min Yoo
Jin-Hwa Kim
Baeseong Park
Byeongwook Kim
Jung-Woo Ha
Nako Sung
Dongsoo Lee
MQ
41
30
0
08 Oct 2022
Large Language Models can Implement Policy Iteration
Large Language Models can Implement Policy Iteration
Ethan A. Brooks
Logan Walls
Richard L. Lewis
Satinder Singh
LM&Ro
OffRL
134
21
0
07 Oct 2022
FedPC: Federated Learning for Language Generation with Personal and
  Context Preference Embeddings
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings
Andrew Silva
Pradyumna Tambwekar
Matthew C. Gombolay
FedML
26
0
0
07 Oct 2022
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable
  Text Generation
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation
Haoqin Tu
Zhongliang Yang
Jinshuai Yang
Siyu Zhang
Yong Huang
25
7
0
07 Oct 2022
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision
  Tasks
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
Yen-Cheng Liu
Chih-Yao Ma
Junjiao Tian
Zijian He
Z. Kira
128
47
0
07 Oct 2022
FAST: Improving Controllability for Text Generation with Feedback Aware
  Self-Training
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training
Junyi Chai
Reid Pryzant
Victor Ye Dong
Konstantin Golobokov
Chenguang Zhu
Yi Liu
42
5
0
06 Oct 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
Fahad Shahbaz Khan
VPVLM
VLM
212
538
0
06 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDL
VLM
CLL
120
46
0
06 Oct 2022
Efficiently Enhancing Zero-Shot Performance of Instruction Following
  Model via Retrieval of Soft Prompt
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
Seonghyeon Ye
Joel Jang
Doyoung Kim
Yongrae Jo
Minjoon Seo
VLM
44
2
0
06 Oct 2022
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