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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 / 2,607 papers shown
Title
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
Yifang Chen
Xuyang Guo
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
103
3
0
03 Mar 2025
Alchemist: Towards the Design of Efficient Online Continual Learning System
Yuyang Huang
Yuhan Liu
Haryadi S. Gunawi
Beibin Li
Changho Hwang
CLLOnRL
175
0
0
03 Mar 2025
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
Tingchen Fu
Fazl Barez
AAML
105
0
0
03 Mar 2025
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLMVLM
522
1
0
03 Mar 2025
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi Kang
Liyuan Wang
Xingxing Zhang
Karteek Alahari
CLLVLM
95
1
0
02 Mar 2025
Re-Imagining Multimodal Instruction Tuning: A Representation View
Re-Imagining Multimodal Instruction Tuning: A Representation View
Yiyang Liu
James Liang
Ruixiang Tang
Yugyung Lee
Majid Rabbani
...
Raghuveer M. Rao
Lifu Huang
Dongfang Liu
Qifan Wang
Cheng Han
432
0
0
02 Mar 2025
Efficiently Editing Mixture-of-Experts Models with Compressed Experts
Y. He
Yang Liu
Chen Liang
Hany Awadalla
MoE
103
1
0
01 Mar 2025
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
Zhenyi Shen
Hanqi Yan
Linhai Zhang
Zhanghao Hu
Yali Du
Yulan He
LRM
172
27
0
28 Feb 2025
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo
Sol Namkung
Sunwoo Lee
Inho Jeong
Beomseok Kim
Dongsuk Jeon
117
1
0
28 Feb 2025
From Retrieval to Generation: Comparing Different Approaches
From Retrieval to Generation: Comparing Different Approaches
Abdelrahman Abdallah
Jamshid Mozafari
Bhawna Piryani
Mohammed Ali
Adam Jatowt
RALM
106
0
0
27 Feb 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
Li Ju
Xingyi Yang
Qi Li
Xinchao Wang
132
0
0
26 Feb 2025
SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding
SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding
Liangtao Shi
Ting Liu
Xiantao Hu
Yue Hu
Quanjun Yin
Richang Hong
ObjD
121
0
0
24 Feb 2025
Representation Engineering for Large-Language Models: Survey and Research Challenges
Representation Engineering for Large-Language Models: Survey and Research Challenges
Lukasz Bartoszcze
Sarthak Munshi
Bryan Sukidi
Jennifer Yen
Zejia Yang
David Williams-King
Linh Le
Kosi Asuzu
Carsten Maple
176
0
0
24 Feb 2025
Dependency Parsing with the Structuralized Prompt Template
Dependency Parsing with the Structuralized Prompt Template
Keunha Kim
Youngjoong Ko
72
0
0
24 Feb 2025
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
Yibo Zhong
Haoxiang Jiang
Lincan Li
Ryumei Nakada
Tianci Liu
Linjun Zhang
Huaxiu Yao
Haoyu Wang
255
3
0
24 Feb 2025
Generative Modeling of Individual Behavior at Scale
Generative Modeling of Individual Behavior at Scale
Nabil Omi
Lucas Caccia
Anurag Sarkar
Jordan T. Ash
S. Sen
142
0
0
24 Feb 2025
SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition
SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition
Feng Lu
Tong Jin
X. Lan
Lijun Zhang
Yunpeng Liu
Yaowei Wang
Chun Yuan
82
1
0
23 Feb 2025
Dynamic Low-Rank Sparse Adaptation for Large Language Models
Dynamic Low-Rank Sparse Adaptation for Large Language Models
Weizhong Huang
Yuxin Zhang
Xiawu Zheng
Yang Liu
Jing Lin
Yiwu Yao
Rongrong Ji
212
2
0
21 Feb 2025
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
Jinda Liu
Yi-Ju Chang
Yuan Wu
160
0
0
21 Feb 2025
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Yanming Liu
Xinyue Peng
Yuwei Zhang
Xiaolan Ke
Songhang Deng
...
Sheng Cheng
Xun Wang
Yuxiang Cai
Tianyu Du
Xuhong Zhang
179
0
0
21 Feb 2025
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models
Haokun Chen
Sebastian Szyller
Weilin Xu
N. Himayat
MUAAML
93
1
0
20 Feb 2025
MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs
MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs
Xinxin You
Xien Liu
Xue Yang
Ziyi Wang
Ji Wu
92
0
0
19 Feb 2025
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
Xinyu Tian
Shu Zou
Zhaoyuan Yang
Mengqi He
Jing Zhang
VLM
95
0
0
19 Feb 2025
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity
Yuri Kuratov
M. Arkhipov
Aydar Bulatov
Andrey Kravchenko
139
3
0
18 Feb 2025
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
Weizhe Chen
Sven Koenig
B. Dilkina
LLMAG
214
12
0
17 Feb 2025
Strada-LLM: Graph LLM for traffic prediction
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas
Yangxintong Lyu
Bruno Cornelis
Alexandre Alahi
Adrian Munteanu
AI4TS
104
1
0
17 Feb 2025
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
Ayan Sengupta
Ayan Sengupta
Tanmoy Chakraborty
170
0
0
17 Feb 2025
Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation
Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation
Joy Mahapatra
Soumyajit Roy
Utpal Garain
HILMALM
147
0
0
17 Feb 2025
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
Yige Xu
Xu Guo
Zhiwei Zeng
Chunyan Miao
LLMAGCLLLRM
142
22
0
17 Feb 2025
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering
Chang Zong
Jian Wan
Siliang Tang
Lei Zhang
120
0
0
17 Feb 2025
Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes
Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes
Taylan G. Topcu
Mohammed Husain
Max Ofsa
Paul Wach
59
1
0
13 Feb 2025
GCoT: Chain-of-Thought Prompt Learning for Graphs
GCoT: Chain-of-Thought Prompt Learning for Graphs
Xingtong Yu
Chang Zhou
Zhongwei Kuai
Xinming Zhang
Yuan Fang
LRM
154
2
0
12 Feb 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision-Language Models for Edge Networks: A Comprehensive Survey
Ahmed Sharshar
Latif U. Khan
Waseem Ullah
Mohsen Guizani
VLM
160
3
0
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Foundation Models for Anomaly Detection: Vision and Challenges
Foundation Models for Anomaly Detection: Vision and Challenges
Jing Ren
Tao Tang
Hong Jia
Haytham Fayek
Haytham Fayek
Xiaodong Li
Suyu Ma
Xiwei Xu
Feng Xia
153
0
0
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FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images
Jinchen Yu
Yongwei Nie
Fei Qi
Wenxiong Liao
Hongmin Cai
MedIm
94
1
0
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Task-driven Layerwise Additive Activation Intervention
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Bao Nguyen
Binh Nguyen
V. Nguyen
KELM
95
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0
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CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
Delvin Ce Zhang
Dongwon Lee
HILMLRM
171
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Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
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Xinyi Wu
Hao Li
Qinglin Zhang
Yuxiao Hu
Shuai Zhao
Wenqi Fan
183
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0
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Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning
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Peizhuang Cong
Wenpu Liu
Wenhan Yu
Haochen Zhao
Tong Yang
ALMMoE
107
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0
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LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
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Zhekai Du
Yinjie Min
Jingjing Li
Ke Lu
Changliang Zou
Liuhua Peng
Tingjin Chu
Mingming Gong
468
2
0
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Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training
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Qi He
Peiran Yu
Heng-Chiao Huang
ALM
104
0
0
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Prompt-based Depth Pruning of Large Language Models
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Minjae Park
Jaeho Lee
VLM
191
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LAST SToP For Modeling Asynchronous Time Series
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Shubham Gupta
Thibaut Durand
Graham Taylor
Lilian W. Białokozowicz
AI4TS
122
1
0
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FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data
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Ankur Sinha
Chaitanya Agarwal
P. Malo
AIFin
99
0
0
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TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
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Si-Yang Liu
Han-Jia Ye
179
12
0
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PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
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Zequan Liu
Yi Zhao
Ming Tan
Wei Zhu
Aaron Xuxiang Tian
162
0
0
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SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
Jiawen Zhang
Kejia Chen
Zunlei Feng
Jian Lou
Mingli Song
Qingbin Liu
Xiaoyu Yang
AAMLSILMFedML
171
1
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BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
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Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDLUQLM
233
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Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
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Xinyu Tang
Xiaolei Wang
Wayne Xin Zhao
Siyuan Lu
Yaliang Li
Ji-Rong Wen
LRM
133
18
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Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
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Carden Bagwell
Avinash Ravichandran
Ashish Shrivastava
M. Raissi
82
2
0
28 Jan 2025
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