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The Power of Scale for Parameter-Efficient Prompt Tuning
v1v2 (latest)

The Power of Scale for Parameter-Efficient Prompt Tuning

18 April 2021
Brian Lester
Rami Al-Rfou
Noah Constant
    VPVLM
ArXiv (abs)PDFHTML

Papers citing "The Power of Scale for Parameter-Efficient Prompt Tuning"

50 / 2,608 papers shown
Title
Feedback-guided Data Synthesis for Imbalanced Classification
Feedback-guided Data Synthesis for Imbalanced Classification
Reyhane Askari Hemmat
Mohammad Pezeshki
Florian Bordes
M. Drozdzal
Adriana Romero Soriano
SyDa
101
21
0
29 Sep 2023
Learning to Rewrite Prompts for Personalized Text Generation
Learning to Rewrite Prompts for Personalized Text Generation
Cheng-rong Li
Mingyang Zhang
Qiaozhu Mei
Weize Kong
Michael Bendersky
LLMAG
87
25
0
29 Sep 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and
  Prompt Engineering
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
Han Zhou
Xingchen Wan
Lev Proleev
Diana Mincu
Jilin Chen
Katherine A. Heller
Subhrajit Roy
UQLM
95
61
0
29 Sep 2023
Interpretable Long-Form Legal Question Answering with
  Retrieval-Augmented Large Language Models
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
Antoine Louis
Gijs van Dijck
Gerasimos Spanakis
ELMAILaw
79
41
0
29 Sep 2023
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Chrisantha Fernando
Dylan Banarse
Henryk Michalewski
Simon Osindero
Tim Rocktaschel
LLMAGReLMLRM
105
211
0
28 Sep 2023
A Benchmark for Learning to Translate a New Language from One Grammar
  Book
A Benchmark for Learning to Translate a New Language from One Grammar Book
Garrett Tanzer
Mirac Suzgun
Chenguang Xi
Dan Jurafsky
Luke Melas-Kyriazi
98
61
0
28 Sep 2023
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with
  Modular Quantizers
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Junjie Yin
Jiahao Dong
Yingheng Wang
Christopher De Sa
Volodymyr Kuleshov
MQ
68
6
0
28 Sep 2023
Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Bipin Rajendran
Bashir M. Al-Hashimi
MLLMVLM
98
3
0
27 Sep 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with
  Large Language Models
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
Cheng Chen
Yuchen Hu
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Pin-Yu Chen
Eng Siong Chng
99
48
0
27 Sep 2023
Graph Neural Prompting with Large Language Models
Graph Neural Prompting with Large Language Models
Yijun Tian
Huan Song
Zichen Wang
Haozhu Wang
Ziqing Hu
Fang Wang
Nitesh Chawla
Panpan Xu
AI4CE
109
49
0
27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation
VPA: Fully Test-Time Visual Prompt Adaptation
Jiachen Sun
Mark Ibrahim
Melissa Hall
Ivan Evtimov
Z. Morley Mao
Cristian Canton Ferrer
C. Hazirbas
VLM
94
7
0
26 Sep 2023
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
Chenyan Song
Xu Han
Zheni Zeng
Kuai Li
Chen Chen
Zhiyuan Liu
Maosong Sun
Taojiannan Yang
CLLKELM
107
11
0
26 Sep 2023
Text-to-Image Generation for Abstract Concepts
Text-to-Image Generation for Abstract Concepts
Jiayi Liao
Xu Chen
Qiang Fu
Lun Du
Xiangnan He
Xiang Wang
Shi Han
Dongmei Zhang
115
16
0
26 Sep 2023
Natural Language based Context Modeling and Reasoning for Ubiquitous
  Computing with Large Language Models: A Tutorial
Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial
Haoyi Xiong
Jiang Bian
Sijia Yang
Xiaofei Zhang
Linghe Kong
Daqing Zhang
LRMLLMAG
107
5
0
24 Sep 2023
Defending Pre-trained Language Models as Few-shot Learners against
  Backdoor Attacks
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
Zhaohan Xi
Tianyu Du
Changjiang Li
Ren Pang
S. Ji
Jinghui Chen
Fenglong Ma
Ting Wang
AAML
70
34
0
23 Sep 2023
Towards Green AI in Fine-tuning Large Language Models via Adaptive
  Backpropagation
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
Kai Huang
Hanyu Yin
Heng Huang
Wei Gao
95
11
0
22 Sep 2023
Transformer-based Image Compression with Variable Image Quality
  Objectives
Transformer-based Image Compression with Variable Image Quality Objectives
Chia-Hao Kao
Yi-Hsin Chen
Cheng Chien
Wei-Chen Chiu
Wen-Hsiao Peng
65
2
0
22 Sep 2023
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Yukang Chen
Shengju Qian
Haotian Tang
Xin Lai
Zhijian Liu
Song Han
Jiaya Jia
180
170
0
21 Sep 2023
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
Lukas Berglund
Meg Tong
Max Kaufmann
Mikita Balesni
Asa Cooper Stickland
Tomasz Korbak
Owain Evans
LRM
195
279
0
21 Sep 2023
On the Relationship between Skill Neurons and Robustness in Prompt
  Tuning
On the Relationship between Skill Neurons and Robustness in Prompt Tuning
Leon Ackermann
Xenia Ohmer
AAML
54
0
0
21 Sep 2023
PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan
  pre-trained language models
PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models
Mingjun Zhou
Daiqing Zhuoma
Qun Nuo
T. Nyima
90
0
0
21 Sep 2023
Prompt Tuned Embedding Classification for Multi-Label Industry Sector
  Allocation
Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
V. Buchner
Lele Cao
Jan-Christoph Kalo
Vilhelm von Ehrenheim
VLM
94
2
0
21 Sep 2023
Sparsely Shared LoRA on Whisper for Child Speech Recognition
Sparsely Shared LoRA on Whisper for Child Speech Recognition
W. Liu
Ying Qin
Zhiyuan Peng
Tan Lee
68
19
0
21 Sep 2023
Toward Unified Controllable Text Generation via Regular Expression
  Instruction
Toward Unified Controllable Text Generation via Regular Expression Instruction
Xin Zheng
Hongyu Lin
Xianpei Han
Le Sun
108
5
0
19 Sep 2023
Drive as You Speak: Enabling Human-Like Interaction with Large Language
  Models in Autonomous Vehicles
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles
Can Cui
Yunsheng Ma
Xu Cao
Wenqian Ye
Ziran Wang
124
115
0
19 Sep 2023
Deep Prompt Tuning for Graph Transformers
Deep Prompt Tuning for Graph Transformers
Reza Shirkavand
Heng-Chiao Huang
61
7
0
18 Sep 2023
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive
  Instruction-Tuning Benchmark for Speech
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech
Chien-yu Huang
Ke-Han Lu
Shi Wang
Chi-Yuan Hsiao
Chun-Yi Kuan
...
Roshan S. Sharma
Shinji Watanabe
Bhiksha Ramakrishnan
Shady Shehata
Hung-yi Lee
AuLLM
88
63
0
18 Sep 2023
Are Soft Prompts Good Zero-shot Learners for Speech Recognition?
Are Soft Prompts Good Zero-shot Learners for Speech Recognition?
Dianwen Ng
Chong Zhang
Ruixi Zhang
Yukun Ma
Fabian Ritter-Gutierrez
Trung Hieu Nguyen
Chongjia Ni
Shengkui Zhao
Eng Siong Chng
B. Ma
VLM
67
1
0
18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene
  Classification
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Junjie Zhu
Yiying Li
Chunping Qiu
Ke Yang
Naiyang Guan
Xiaodong Yi
95
7
0
17 Sep 2023
Exploring the impact of low-rank adaptation on the performance,
  efficiency, and regularization of RLHF
Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF
Simeng Sun
Dhawal Gupta
Mohit Iyyer
89
20
0
16 Sep 2023
EchoPrompt: Instructing the Model to Rephrase Queries for Improved
  In-context Learning
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
Rajasekhar Reddy Mekala
Yasaman Razeghi
Sameer Singh
LRM
93
11
0
16 Sep 2023
How to Handle Different Types of Out-of-Distribution Scenarios in
  Computational Argumentation? A Comprehensive and Fine-Grained Field Study
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study
Andreas Waldis
Yufang Hou
Iryna Gurevych
78
4
0
15 Sep 2023
Self-Consistent Narrative Prompts on Abductive Natural Language
  Inference
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
Chunkit Chan
Xin Liu
Tszho Chan
Cheng Jiayang
Yangqiu Song
Ginny Wong
Simon See
LRM
70
8
0
15 Sep 2023
Ambiguity-Aware In-Context Learning with Large Language Models
Ambiguity-Aware In-Context Learning with Large Language Models
Lingyu Gao
Aditi Chaudhary
Krishna Srinivasan
Kazuma Hashimoto
K. Raman
Michael Bendersky
73
9
0
14 Sep 2023
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
Anh Pham Thi Minh
An Duc Nguyen
Georgios Tzimiropoulos
VPVLMVLM
98
3
0
14 Sep 2023
PerPLM: Personalized Fine-tuning of Pretrained Language Models via
  Writer-specific Intermediate Learning and Prompts
PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts
Daisuke Oba
Naoki Yoshinaga
Masashi Toyoda
66
2
0
14 Sep 2023
Adaptive Prompt Learning with Distilled Connective Knowledge for
  Implicit Discourse Relation Recognition
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition
Bang Wang
Zhenglin Wang
Wei Xiang
Yijun Mo
CLL
96
2
0
14 Sep 2023
PromptASR for contextualized ASR with controllable style
PromptASR for contextualized ASR with controllable style
Xiaoyu Yang
Wei Kang
Zengwei Yao
Yifan Yang
Liyong Guo
Fangjun Kuang
Long Lin
Daniel Povey
113
14
0
14 Sep 2023
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient
  Fine-tuning
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning
Sanghyeon Kim
Hyunmo Yang
Younghyun Kim
Youngjoon Hong
Eunbyung Park
AI4CE
78
18
0
13 Sep 2023
Scaled Prompt-Tuning for Few-Shot Natural Language Generation
Scaled Prompt-Tuning for Few-Shot Natural Language Generation
Ting Hu
Christoph Meinel
Haojin Yang
37
0
0
13 Sep 2023
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source
  Localizer
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer
Yaoting Wang
Weisong Liu
Guangyao Li
Jian Ding
Di Hu
Xi Li
VLM
93
21
0
13 Sep 2023
The first step is the hardest: Pitfalls of Representing and Tokenizing
  Temporal Data for Large Language Models
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models
Dimitris Spathis
F. Kawsar
AI4TS
90
25
0
12 Sep 2023
Efficient Memory Management for Large Language Model Serving with
  PagedAttention
Efficient Memory Management for Large Language Model Serving with PagedAttention
Woosuk Kwon
Zhuohan Li
Siyuan Zhuang
Ying Sheng
Lianmin Zheng
Cody Hao Yu
Joseph E. Gonzalez
Haotong Zhang
Ion Stoica
VLM
226
2,341
0
12 Sep 2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by
  Finding Problematic Prompts
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
Zhi-Yi Chin
Chieh-Ming Jiang
Ching-Chun Huang
Pin-Yu Chen
Wei-Chen Chiu
DiffM
96
78
0
12 Sep 2023
Characterizing Latent Perspectives of Media Houses Towards Public
  Figures
Characterizing Latent Perspectives of Media Houses Towards Public Figures
S. Srivatsa
Srinath Srinivasa
58
0
0
12 Sep 2023
Language Models as Black-Box Optimizers for Vision-Language Models
Language Models as Black-Box Optimizers for Vision-Language Models
Shihong Liu
Zhiqiu Lin
Samuel Yu
Ryan Lee
Tiffany Ling
Deepak Pathak
Deva Ramanan
VLM
128
30
0
12 Sep 2023
Uncovering mesa-optimization algorithms in Transformers
Uncovering mesa-optimization algorithms in Transformers
J. Oswald
Eyvind Niklasson
Maximilian Schlegel
Seijin Kobayashi
Nicolas Zucchet
...
Mark Sandler
Blaise Agüera y Arcas
Max Vladymyrov
Razvan Pascanu
João Sacramento
72
64
0
11 Sep 2023
ITI-GEN: Inclusive Text-to-Image Generation
ITI-GEN: Inclusive Text-to-Image Generation
Cheng Zhang
Xuanbai Chen
Siqi Chai
Chen Henry Wu
Dmitry Lagun
Thabo Beeler
Fernando de la Torre
VLM
124
58
0
11 Sep 2023
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient
  MoE for Instruction Tuning
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
Ted Zadouri
Ahmet Üstün
Arash Ahmadian
Beyza Ermics
Acyr Locatelli
Sara Hooker
MoE
114
101
0
11 Sep 2023
Can you text what is happening? Integrating pre-trained language
  encoders into trajectory prediction models for autonomous driving
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving
Ali Keysan
Andreas Look
Eitan Kosman
Gonca Gürsun
Jörg Wagner
Yu Yao
Barbara Rakitsch
97
31
0
11 Sep 2023
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