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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
Enhancing Multi-modal Models with Heterogeneous MoE Adapters for Fine-tuning
Enhancing Multi-modal Models with Heterogeneous MoE Adapters for Fine-tuning
Sashuai Zhou
Hai Huang
Yan Xia
MoMeMoE
132
0
0
26 Mar 2025
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models
Suhas G Hegde
S. K
Aruna Tiwari
88
1
0
25 Mar 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
Xu Han
Yuan Tang
Jinfeng Xu
Xianzhi Li
97
0
0
24 Mar 2025
Understanding and Improving Information Preservation in Prompt Compression for LLMs
Understanding and Improving Information Preservation in Prompt Compression for LLMs
Weronika Łajewska
Momchil Hardalov
Laura Aina
Neha Anna John
Hang Su
Lluís Marquez
162
1
0
24 Mar 2025
Hiding Images in Diffusion Models by Editing Learned Score Functions
Hiding Images in Diffusion Models by Editing Learned Score Functions
Haoyu Chen
Yunqiao Yang
Nan Zhong
Kede Ma
DiffM
135
0
0
24 Mar 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
Pieyi Zhang
Richong Zhang
Zhijie Nie
VLM
138
0
0
23 Mar 2025
Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion Priors
Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion Priors
Tianxin Huang
Gim Hee Lee
85
0
0
23 Mar 2025
DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
Massimo Bini
Leander Girrbach
Zeynep Akata
222
1
0
23 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
508
0
0
23 Mar 2025
Joint Extraction Matters: Prompt-Based Visual Question Answering for Multi-Field Document Information Extraction
Joint Extraction Matters: Prompt-Based Visual Question Answering for Multi-Field Document Information Extraction
Mengsay Loem
Taiju Hosaka
85
0
0
21 Mar 2025
MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization
MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization
Jian Zhang
Ziyi Wang
Haiping Zhu
Jun Liu
Qika Lin
Min Zhang
LLMAG
159
2
0
21 Mar 2025
Cultural Alignment in Large Language Models Using Soft Prompt Tuning
Cultural Alignment in Large Language Models Using Soft Prompt Tuning
Reem I. Masoud
Martin Ferianc
Philip C. Treleaven
Miguel R. D. Rodrigues
ALM
82
2
0
20 Mar 2025
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding
Zichen Liu
Kunlun Xu
Fuchun Sun
Xu Zou
Yuxin Peng
Jiahuan Zhou
VLMAI4TS
193
2
0
20 Mar 2025
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
Mario Sanz-Guerrero
Katharina von der Wense
LRM
67
0
0
20 Mar 2025
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
Hui Liu
Wenya Wang
Kecheng Chen
Jie Liu
Yibing Liu
Tiexin Qin
Peisong He
Xinghao Jiang
Haoliang Li
BDLVLM
475
0
0
20 Mar 2025
Prompt engineering and framework: implementation to increase code reliability based guideline for LLMs
Prompt engineering and framework: implementation to increase code reliability based guideline for LLMs
Rogelio Cruz
Jonatan Contreras
Francisco Guerrero
Ezequiel Rodriguez
Carlos Valdez
Citlali Carrillo
LLMAG
16
0
0
19 Mar 2025
Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
Peipeng Yu
Jianwei Fei
Hui Gao
Xuan Feng
Zhihua Xia
Chip-Hong Chang
MLLMVLM
107
1
0
19 Mar 2025
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
Xingxuan Zhang
Haoran Wang
Jiansheng Li
Yuan Xue
Shikai Guan
Renzhe Xu
Hao Zou
Han Yu
Peng Cui
79
0
0
19 Mar 2025
On the Robustness Tradeoff in Fine-Tuning
On the Robustness Tradeoff in Fine-Tuning
Kunyang Li
Jean-Charles Noirot Ferrand
Ryan Sheatsley
Blaine Hoak
Yohan Beugin
Eric Pauley
Patrick McDaniel
91
0
0
19 Mar 2025
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Jiangxuan Long
Zhao Song
Chiwun Yang
AI4TS
482
0
0
18 Mar 2025
CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware
CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware
Ankit Dutta
Nabarup Ghosh
Ankush Chatterjee
87
0
0
18 Mar 2025
DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective
DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective
Dengyun Peng
Yuhang Zhou
Qiguang Chen
Jinhao Liu
Jingjing Chen
L. Qin
106
0
0
17 Mar 2025
Using LLMs for Automated Privacy Policy Analysis: Prompt Engineering, Fine-Tuning and Explainability
Using LLMs for Automated Privacy Policy Analysis: Prompt Engineering, Fine-Tuning and Explainability
Yuxin Chen
Peng Tang
Weidong Qiu
Shujun Li
59
0
0
16 Mar 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
Hao Mark Chen
S. Hu
Wayne Luk
Timothy M. Hospedales
Hongxiang Fan
MoMe
119
1
0
16 Mar 2025
RaSA: Rank-Sharing Low-Rank Adaptation
RaSA: Rank-Sharing Low-Rank Adaptation
Zhiwei He
Zhaopeng Tu
Xing Wang
Xingyu Chen
Zhaoxiang Wang
Jiahao Xu
Tian Liang
Wenxiang Jiao
Zizhuo Zhang
Rui Wang
ALM
137
3
0
16 Mar 2025
A Survey on Federated Fine-tuning of Large Language Models
A Survey on Federated Fine-tuning of Large Language Models
Yebo Wu
Chunlin Tian
Jingguang Li
He Sun
Kahou Tam
Zhanting Zhou
Haicheng Liao
Zhijiang Guo
Li Li
Chengzhong Xu
FedML
156
5
0
15 Mar 2025
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
Ans Munir
Faisal Z. Qureshi
M. H. Khan
Mohsen Ali
VLM
150
0
0
15 Mar 2025
MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling
R. Teo
T. Nguyen
MoE
149
2
0
14 Mar 2025
Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
Matteo Farina
Massimiliano Mancini
Giovanni Iacca
Elisa Ricci
VLM
94
0
0
14 Mar 2025
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
Jieming Bian
Lei Wang
Letian Zhang
Jie Xu
105
3
0
14 Mar 2025
Modeling Variants of Prompts for Vision-Language Models
Ao Li
Zongfang Liu
Xinhua Li
Jinghui Zhang
Pengwei Wang
Hu Wang
VLM
78
0
0
13 Mar 2025
SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable
Jiaxin Zhang
Zechao Li
Wendi Cui
Kamalika Das
Bradley Malin
Sricharan Kumar
111
0
0
13 Mar 2025
Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal
Rongxin Liao
Feng-Qiang Li
Yanyan Wei
Zenglin Shi
Le Zhang
H. Bai
Ming Wang
107
1
0
12 Mar 2025
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows
Chengyue Gong
Xiaoyu Li
Yingyu Liang
Jiangxuan Long
Zhenmei Shi
Zhao Song
Yu Tian
138
3
0
12 Mar 2025
Prompt2LVideos: Exploring Prompts for Understanding Long-Form Multimodal Videos
Soumya Jahagirdar
Jayasree Saha
C. V. Jawahar
126
0
0
11 Mar 2025
1LoRA: Summation Compression for Very Low-Rank Adaptation
Alessio Quercia
Zhuo Cao
Arya Bangun
Richard D. Paul
Abigail Morrison
Ira Assent
Hanno Scharr
96
1
0
11 Mar 2025
MMRL: Multi-Modal Representation Learning for Vision-Language Models
MMRL: Multi-Modal Representation Learning for Vision-Language Models
Yuncheng Guo
Xiaodong Gu
VLMOffRL
450
3
0
11 Mar 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
Haoran Chen
Ping Wang
Zihan Zhou
Xinming Zhang
Zuxuan Wu
Yu Jiang
CLL
107
0
0
11 Mar 2025
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
Guillaume Quétant
Pavlo Molchanov
Svyatoslav Voloshynovskiy
118
0
0
10 Mar 2025
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Sheng Luo
Yi Zhou
Tao Zhou
CLL
169
0
0
10 Mar 2025
MoFE: Mixture of Frozen Experts Architecture
Jean Seo
Jaeyoon Kim
Hyopil Shin
MoE
503
0
0
09 Mar 2025
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation
Kuanghong Liu
Jin Wang
Kangjian He
Dan Xu
Xuejie Zhang
134
0
0
08 Mar 2025
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
You Zhang
Jin Wang
Liang-Chih Yu
Dan Xu
Xuejie Zhang
81
0
0
08 Mar 2025
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino
F. Tonin
Yongtao Wu
Frank Zhengqing Wu
Leyla Naz Candogan
Volkan Cevher
MQ
223
5
0
07 Mar 2025
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Wenke Huang
Jian Liang
Xianda Guo
Yiyang Fang
Guancheng Wan
...
Bin Yang
He Li
Jiawei Shao
Mang Ye
Di Lin
OffRLLRMMLLMKELMVLM
161
4
0
06 Mar 2025
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He
Yihao Liu
Mengyu Zhou
Yeye He
Haoyu Dong
Shi Han
Zejian Yuan
Dongmei Zhang
LMTD
136
1
0
06 Mar 2025
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Yanshu Li
144
2
0
05 Mar 2025
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
Jie Hao
Yuman Wu
Ali Payani
Myungjin Lee
Mingrui Liu
124
2
0
05 Mar 2025
Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding Layers
Zicong He
Boxuan Zhang
Lu Cheng
112
1
0
04 Mar 2025
LoRA-Null: Low-Rank Adaptation via Null Space for Large Language Models
Pengwei Tang
Yebin Liu
Dongjie Zhang
Xing Wu
Debing Zhang
114
2
0
04 Mar 2025
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