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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
Unlearning Traces the Influential Training Data of Language Models
Unlearning Traces the Influential Training Data of Language Models
Masaru Isonuma
Ivan Titov
MU
118
9
0
26 Jan 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
Yongkang Liu
Yiqun Zhang
Qian Li
Tong Liu
Shi Feng
Daling Wang
Yifei Zhang
Hinrich Schütze
96
9
0
26 Jan 2024
Parameter-Efficient Conversational Recommender System as a Language
  Processing Task
Parameter-Efficient Conversational Recommender System as a Language Processing Task
Mathieu Ravaut
Hao Zhang
Lu Xu
Aixin Sun
Yong Liu
116
11
0
25 Jan 2024
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on
  Few-shot Inference via Debiased Domain Abstraction
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
Jiangmeng Li
Fei Song
Yifan Jin
Jingyao Wang
Changwen Zheng
Gang Hua
Hui Xiong
VLM
142
4
0
25 Jan 2024
True Knowledge Comes from Practice: Aligning LLMs with Embodied
  Environments via Reinforcement Learning
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning
Weihao Tan
Wentao Zhang
Shanqi Liu
Longtao Zheng
Xinrun Wang
Bo An
OffRL
109
22
0
25 Jan 2024
MM-LLMs: Recent Advances in MultiModal Large Language Models
MM-LLMs: Recent Advances in MultiModal Large Language Models
Duzhen Zhang
Yahan Yu
Jiahua Dong
Chenxing Li
Dan Su
Chenhui Chu
Dong Yu
OffRLLRM
174
217
0
24 Jan 2024
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced
  Token Detection
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection
Ke Ye
Heinrich Jiang
Afshin Rostamizadeh
Ayan Chakrabarti
Giulia DeSalvo
Jean-François Kagy
Lazaros Karydas
Gui Citovsky
Sanjiv Kumar
76
0
0
24 Jan 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full
  Finetuning?
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?
Cheng Han
Qifan Wang
Yiming Cui
Wenguan Wang
Lifu Huang
Siyuan Qi
Dongfang Liu
VLM
167
22
0
23 Jan 2024
SLANG: New Concept Comprehension of Large Language Models
SLANG: New Concept Comprehension of Large Language Models
Lingrui Mei
Shenghua Liu
Yiwei Wang
Baolong Bi
Xueqi Chen
KELM
89
8
0
23 Jan 2024
BiTA: Bi-Directional Tuning for Lossless Acceleration in Large Language
  Models
BiTA: Bi-Directional Tuning for Lossless Acceleration in Large Language Models
Feng-Huei Lin
Hanling Yi
Hongbin Li
Yifan Yang
Xiaotian Yu
Guangming Lu
Rong Xiao
90
4
0
23 Jan 2024
Enhancing In-context Learning via Linear Probe Calibration
Enhancing In-context Learning via Linear Probe Calibration
Momin Abbas
Yi Zhou
Parikshit Ram
Nathalie Baracaldo
Horst Samulowitz
Theodoros Salonidis
Tianyi Chen
114
14
0
22 Jan 2024
APT: Adaptive Pruning and Tuning Pretrained Language Models for
  Efficient Training and Inference
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
Bowen Zhao
Hannaneh Hajishirzi
Qingqing Cao
143
21
0
22 Jan 2024
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free
  Class-incremental Learning
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning
Zhiyuan Wang
Xiaoyang Qu
Jing Xiao
Bokui Chen
Jianzong Wang
CLL
116
2
0
22 Jan 2024
P2DT: Mitigating Forgetting in task-incremental Learning with
  progressive prompt Decision Transformer
P2DT: Mitigating Forgetting in task-incremental Learning with progressive prompt Decision Transformer
Zhiyuan Wang
Xiaoyang Qu
Jing Xiao
Bokui Chen
Jianzong Wang
CLLOffRL
38
1
0
22 Jan 2024
In-context Learning with Retrieved Demonstrations for Language Models: A
  Survey
In-context Learning with Retrieved Demonstrations for Language Models: A Survey
an Luo
Xin Xu
Yue Liu
Panupong Pasupat
Mehran Kazemi
RALM
170
70
0
21 Jan 2024
Hierarchical Prompts for Rehearsal-free Continual Learning
Hierarchical Prompts for Rehearsal-free Continual Learning
Yukun Zuo
Hantao Yao
Lu Yu
Liansheng Zhuang
Changsheng Xu
CLLVLM
69
1
0
21 Jan 2024
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
Nadav Benedek
Lior Wolf
87
5
0
20 Jan 2024
LangBridge: Multilingual Reasoning Without Multilingual Supervision
LangBridge: Multilingual Reasoning Without Multilingual Supervision
Dongkeun Yoon
Joel Jang
Sungdong Kim
Seungone Kim
Sheikh Shafayat
Minjoon Seo
LRM
58
15
0
19 Jan 2024
DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval
DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval
Xiangpeng Yang
Linchao Zhu
Xiaohan Wang
Yi Yang
VLM
145
26
0
19 Jan 2024
OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy
OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy
Haowen Wang
Tao Sun
Kaixiang Ji
Jian Wang
Cong Fan
Jinjie Gu
37
1
0
19 Jan 2024
AAT: Adapting Audio Transformer for Various Acoustics Recognition Tasks
AAT: Adapting Audio Transformer for Various Acoustics Recognition Tasks
Yun Liang
Hai Lin
Shaojian Qiu
Yihang Zhang
43
1
0
19 Jan 2024
FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial
  Analysis
FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis
Chao Zhang
Yuren Mao
Yijiang Fan
Yu Mi
Yunjun Gao
Lu Chen
Dongfang Lou
Jinshu Lin
107
29
0
19 Jan 2024
LLMs for Relational Reasoning: How Far are We?
LLMs for Relational Reasoning: How Far are We?
Zhiming Li
Yushi Cao
Xiufeng Xu
Junzhe Jiang
Xu Liu
Yon Shin Teo
Shang-Wei Lin
Yang Liu
LRM
117
22
0
17 Jan 2024
Tuning Language Models by Proxy
Tuning Language Models by Proxy
Alisa Liu
Xiaochuang Han
Yizhong Wang
Yulia Tsvetkov
Yejin Choi
Noah A. Smith
ALM
98
52
0
16 Jan 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual
  Learning of Large Language Models
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao
Shilong Wang
Yulin Hu
Yanyan Zhao
Bing Qin
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
KELMCLL
110
16
0
16 Jan 2024
PRewrite: Prompt Rewriting with Reinforcement Learning
PRewrite: Prompt Rewriting with Reinforcement Learning
Weize Kong
Spurthi Amba Hombaiah
Mingyang Zhang
Qiaozhu Mei
Michael Bendersky
LLMAG
54
17
0
16 Jan 2024
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking
  of Real-world Claims
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
Fengzhu Zeng
Wei Gao
132
20
0
16 Jan 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized
  Large Language Models
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
Zhengxin Zhang
Dan Zhao
Xupeng Miao
Gabriele Oliaro
Qing Li
Yong Jiang
Zhihao Jia
MQ
92
9
0
13 Jan 2024
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ
  Generation using GPT
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT
Subhankar Maity
Aniket Deroy
Sudeshna Sarkar
LRM
77
15
0
13 Jan 2024
Parameter-Efficient Detoxification with Contrastive Decoding
Parameter-Efficient Detoxification with Contrastive Decoding
Tong Niu
Caiming Xiong
Semih Yavuz
Yingbo Zhou
62
14
0
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Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation
  Models
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Yae Jee Cho
Luyang Liu
Zheng Xu
Aldi Fahrezi
Gauri Joshi
92
68
0
12 Jan 2024
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
Guiming Cao
Kaize Shi
Hong Fu
Huaiwen Zhang
Guandong Xu
VLM
77
2
0
12 Jan 2024
SamLP: A Customized Segment Anything Model for License Plate Detection
SamLP: A Customized Segment Anything Model for License Plate Detection
Haoxuan Ding
Junyuan Gao
Yuan. Yuan
Qi. Wang
MLLMVLM
81
7
0
12 Jan 2024
Misconfidence-based Demonstration Selection for LLM In-Context Learning
Misconfidence-based Demonstration Selection for LLM In-Context Learning
Shangqing Xu
Chao Zhang
137
17
0
12 Jan 2024
Distilling Vision-Language Models on Millions of Videos
Distilling Vision-Language Models on Millions of Videos
Yue Zhao
Long Zhao
Xingyi Zhou
Jialin Wu
Chun-Te Chu
...
Hartwig Adam
Ting Liu
Boqing Gong
Philipp Krahenbuhl
Liangzhe Yuan
VLM
96
14
0
11 Jan 2024
Chain of History: Learning and Forecasting with LLMs for Temporal
  Knowledge Graph Completion
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
Ruilin Luo
Tianle Gu
Haoling Li
Junzhe Li
Zicheng Lin
Jiayi Li
Yujiu Yang
AI4CE
149
10
0
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Do Vision and Language Encoders Represent the World Similarly?
Do Vision and Language Encoders Represent the World Similarly?
Mayug Maniparambil
Raiymbek Akshulakov
Y. A. D. Djilali
Sanath Narayan
M. Seddik
K. Mangalam
Noel E. O'Connor
VLM
106
14
0
10 Jan 2024
User Embedding Model for Personalized Language Prompting
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Sumanth Doddapaneni
Krishna Sayana
Ambarish Jash
Sukhdeep S. Sodhi
Dima Kuzmin
RALM
78
10
0
10 Jan 2024
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
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Mahdi Nikdan
Soroush Tabesh
Elvir Crnčević
Dan Alistarh
134
32
0
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Learning to Prompt Segment Anything Models
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Jiaxing Huang
Kai Jiang
Jingyi Zhang
Han Qiu
Lewei Lu
Shijian Lu
Eric Xing
VLMLRM
100
7
0
09 Jan 2024
TechGPT-2.0: A large language model project to solve the task of
  knowledge graph construction
TechGPT-2.0: A large language model project to solve the task of knowledge graph construction
Jiaqi Wang
Yuying Chang
Zhong Li
Ning An
Qi Ma
Lei Hei
Haibo Luo
Yifei Lu
Feiliang Ren
43
6
0
09 Jan 2024
A Survey on Efficient Federated Learning Methods for Foundation Model
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A Survey on Efficient Federated Learning Methods for Foundation Model Training
Herbert Woisetschläger
Alexander Isenko
Shiqiang Wang
R. Mayer
Hans-Arno Jacobsen
FedML
117
26
0
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LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using
  Adversarial Training
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
Khoi M. Le
Trinh Pham
Tho Quan
Anh Tuan Luu
92
7
0
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Private Fine-tuning of Large Language Models with Zeroth-order Optimization
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Ashwinee Panda
Milad Nasr
Saeed Mahloujifar
Prateek Mittal
222
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Chain of LoRA: Efficient Fine-tuning of Language Models via Residual
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Chengwei Qin
Elad Hazan
125
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Amit K. Roy-Chowdhury
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Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts
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Haisheng Zheng
Zhuolun He
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MoEALM
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ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment
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Data-Centric Foundation Models in Computational Healthcare: A Survey
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SyDa
166
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