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Parameter-Efficient Transfer Learning for NLP
v1v2 (latest)

Parameter-Efficient Transfer Learning for NLP

2 February 2019
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
ArXiv (abs)PDFHTML

Papers citing "Parameter-Efficient Transfer Learning for NLP"

50 / 2,860 papers shown
Title
On The Landscape of Spoken Language Models: A Comprehensive Survey
On The Landscape of Spoken Language Models: A Comprehensive Survey
Siddhant Arora
Kai-Wei Chang
Chung-Ming Chien
Yifan Peng
Haibin Wu
Yossi Adi
Emmanuel Dupoux
Hung-yi Lee
Karen Livescu
Shinji Watanabe
164
14
0
11 Apr 2025
UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection
UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection
Frances Adriana Laureano De Leon
Yixiao Wang
Yue Feng
Mark Lee
89
1
0
11 Apr 2025
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang
Jiacheng You
Ashwinee Panda
Tom Goldstein
MoMe
111
4
0
10 Apr 2025
Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
Bo Zhang
Hui Ma
Dailin Li
Jian Ding
Jian Wang
Bo Xu
Hongfei Lin
KELM
101
0
0
10 Apr 2025
GPT Carry-On: Training Foundation Model for Customization Could Be Simple, Scalable and Affordable
GPT Carry-On: Training Foundation Model for Customization Could Be Simple, Scalable and Affordable
Jianqiao Wangni
52
0
0
10 Apr 2025
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Nikhil Shivakumar Nayak
Krishnateja Killamsetty
Ligong Han
Abhishek Bhandwaldar
Prateek Chanda
...
Hao Wang
Aldo Pareja
Oleg Silkin
Mustafa Eyceoz
Akash Srivastava
CLL
86
0
0
09 Apr 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang
Liwen Cao
Yanru Wu
Zijie Zhao
Guan Wang
Yang Li
168
0
0
09 Apr 2025
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
Songze Li
Tonghua Su
Xu-Yao Zhang
Qixing Xu
Zhongjie Wang
CLL
180
0
0
09 Apr 2025
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
Xiaobing Yu
Jin Yang
Xiao Wu
Peijie Qiu
Xiaofeng Liu
CLL
53
0
0
09 Apr 2025
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
Xiangyu Zheng
Wanyun Li
Songcheng He
Jianping Fan
Xiaoqiang Li
We Zhang
VOS
93
0
0
08 Apr 2025
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency Adaptation
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency Adaptation
Xiaoxing Hu
Ziyang Gong
Yansen Wang
Yuru Jia
Gen Luo
Xue Yang
478
1
0
08 Apr 2025
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization
Bojana Ranković
P. Schwaller
BDL
491
1
0
08 Apr 2025
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs
Ankush Raut
Xiaofeng Zhu
Maria Leonor Pacheco
75
0
0
07 Apr 2025
TestDG: Test-time Domain Generalization for Continual Test-time Adaptation
TestDG: Test-time Domain Generalization for Continual Test-time Adaptation
Sohyun Lee
N. Kim
Juwon Kang
Seong Joon Oh
Suha Kwak
OODTTA
212
0
0
07 Apr 2025
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
Tong Zhang
87
0
0
06 Apr 2025
STEP: Staged Parameter-Efficient Pre-training for Large Language Models
STEP: Staged Parameter-Efficient Pre-training for Large Language Models
Kazuki Yano
Takumi Ito
Jun Suzuki
LRM
132
1
0
05 Apr 2025
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
Kang Xue
Ming Dong
Xinhui Tu
Tingting He
219
0
0
05 Apr 2025
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models
Muna Numan Said
Aarib Zaidi
Rabia Usman
Sonia Okon
Praneeth Medepalli
Kevin Zhu
Vasu Sharma
Sean O'Brien
66
1
0
05 Apr 2025
Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection
Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection
Nasar Iqbal
Niki Martinel
Mamba
82
0
0
04 Apr 2025
AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation
AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation
Zhipu Cui
Andong Tian
Zhi Ying
Jialiang Lu
76
0
0
03 Apr 2025
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada
Marco Ciccone
Tatiana Tommasi
KELMMoMe
152
3
0
03 Apr 2025
Large (Vision) Language Models are Unsupervised In-Context Learners
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky
Andrei Atanov
Yulun Jiang
Zhitong Gao
Ghazal Hosseini Mighan
Amir Zamir
Maria Brbić
VLMMLLMLRM
286
0
0
03 Apr 2025
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
Jincheng Zhong
Xiangcheng Zhang
Jianmin Wang
Mingsheng Long
88
1
0
02 Apr 2025
Urban Computing in the Era of Large Language Models
Urban Computing in the Era of Large Language Models
Zhonghang Li
Lianghao Xia
Xubin Ren
J. Tang
Tianyi Chen
Yong-mei Xu
Chenyu Huang
231
0
0
02 Apr 2025
CLIP-SLA: Parameter-Efficient CLIP Adaptation for Continuous Sign Language Recognition
CLIP-SLA: Parameter-Efficient CLIP Adaptation for Continuous Sign Language Recognition
Sarah Alyami
H. Luqman
SLRVLM
171
0
0
02 Apr 2025
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection
Yinghe Zhang
Chi Liu
S. Kevin Zhou
Sheng Shen
Peng Gui
AAML
135
0
0
01 Apr 2025
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism
Dengchun Li
Naizheng Wang
Zihao Zhang
Haoyang Yin
Lei Duan
Meng Xiao
Mingjie Tang
MoE
121
2
0
01 Apr 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
Chongjie Si
Zhiyi Shi
Xuehui Wang
Yichen Xiao
Xiaokang Yang
Wei Shen
AI4CE
165
0
0
01 Apr 2025
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach
Francesco P. Ramunno
Paolo Massa
Vitaliy Kinakh
Brandon Panos
A. Csillaghy
Slava Voloshynovskiy
DiffM
112
0
0
31 Mar 2025
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
Guanhua Chen
Yutong Yao
Ci-Jun Gao
Lidia S. Chao
Feng Wan
Derek F. Wong
118
1
0
30 Mar 2025
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
Senkang Hu
Yanan Ma
Yihang Tao
Zhengru Fang
Zihan Fang
Yiqin Deng
Sam Kwong
Yuguang Fang
77
0
0
29 Mar 2025
Towards Symmetric Low-Rank Adapters
Towards Symmetric Low-Rank Adapters
Tales Panoutsos
Rodrygo L. T. Santos
Flavio Figueiredo
177
0
0
29 Mar 2025
Efficient Adaptation For Remote Sensing Visual Grounding
Efficient Adaptation For Remote Sensing Visual Grounding
Hasan Moughnieh
Mohamad Chalhoub
Hasan Nasrallah
Cristiano Nattero
Paolo Campanella
Giovanni Nico
A. Ghandour
123
0
0
29 Mar 2025
Boosting Large Language Models with Mask Fine-Tuning
Boosting Large Language Models with Mask Fine-Tuning
M. Zhang
Yue Bai
Huan Wang
Yizhou Wang
Qihua Dong
Y. Fu
CLL
100
0
0
27 Mar 2025
Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model
Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model
Abdelrahman M. Shaker
Muhammad Maaz
Chenhui Gou
Hamid Rezatofighi
Salman Khan
Fahad Shahbaz Khan
433
0
0
27 Mar 2025
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Hengyuan Zhao
Ziqin Wang
Qixin Sun
Kaiyou Song
Yilin Li
Xiaolin Hu
Qingpei Guo
Si Liu
KELMCLLMoE
156
1
0
27 Mar 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
179
1
0
27 Mar 2025
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Tong Nie
Jian Sun
Wei Ma
246
4
0
27 Mar 2025
MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
Jiancheng Zhao
Xingda Yu
Zhen Yang
MoE
96
3
0
27 Mar 2025
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
134
0
0
26 Mar 2025
Faster Parameter-Efficient Tuning with Token Redundancy Reduction
Faster Parameter-Efficient Tuning with Token Redundancy Reduction
Kwonyoung Kim
Jungin Park
Jin-Hwa Kim
Hyeongjun Kwon
Kwanghoon Sohn
143
1
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
90
1
0
25 Mar 2025
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
Wenrui Cai
Qingjie Liu
Yansen Wang
MoE
158
0
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
137
0
0
24 Mar 2025
LANGALIGN: Enhancing Non-English Language Models via Cross-Lingual Embedding Alignment
LANGALIGN: Enhancing Non-English Language Models via Cross-Lingual Embedding Alignment
Jong Myoung Kim
Young-Jun Lee
Ho-Jin Choi
Sangkeun Jung
105
0
0
24 Mar 2025
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Ruiqi Zhu
Endong Sun
Guanhe Huang
Oya Celiktutan
CLLOnRL
135
0
0
24 Mar 2025
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
Zichen Miao
Wei Chen
Qiang Qiu
149
2
0
24 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
Improving RAG for Personalization with Author Features and Contrastive Examples
Improving RAG for Personalization with Author Features and Contrastive Examples
Mert Yazan
Suzan Verberne
F. Situmeang
79
1
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
141
0
0
23 Mar 2025
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