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On the Effectiveness of Parameter-Efficient Fine-Tuning

On the Effectiveness of Parameter-Efficient Fine-Tuning

28 November 2022
Z. Fu
Haoran Yang
Anthony Man-Cho So
Wai Lam
Lidong Bing
Nigel Collier
ArXivPDFHTML

Papers citing "On the Effectiveness of Parameter-Efficient Fine-Tuning"

37 / 37 papers shown
Title
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage
Wenbo Zhang
Ju Jia
Xiaojun Jia
Yihao Huang
Xuzhao Li
Cong Wu
Lina Wang
AAML
38
0
0
15 Apr 2025
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse
Frédéric Béchet
Benoit Favre
Géraldine Damnati
Gwénolé Lecorvé
Maxime Darrin
Philippe Formont
Pablo Piantanida
139
0
0
07 Mar 2025
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
Jia-Chen Zhang
Yu-Jie Xiong
Chun-Ming Xia
Dong-Hai Zhu
Xi-He Qiu
66
1
0
03 Mar 2025
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
Sifan Zhou
Shuo Wang
Zhihang Yuan
Mingjia Shi
Yuzhang Shang
Dawei Yang
ALM
MQ
90
0
0
18 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Si-Yang Liu
Han-Jia Ye
68
6
0
04 Feb 2025
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
49
3
0
24 Oct 2024
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng
Yize Zhao
V. Vakilian
Minghui Chen
Xiaoxiao Li
Christos Thrampoulidis
39
3
0
12 Oct 2024
LoRTA: Low Rank Tensor Adaptation of Large Language Models
LoRTA: Low Rank Tensor Adaptation of Large Language Models
Ignacio Hounie
Charilaos I. Kanatsoulis
Arnuv Tandon
Alejandro Ribeiro
36
0
0
05 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni
Shan Zhang
Piotr Koniusz
148
2
0
25 Sep 2024
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using
  LLMs
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs
Madhusudan Ghosh
Shrimon Mukherjee
Asmit Ganguly
Partha Basuchowdhuri
S. Naskar
Debasis Ganguly
34
7
0
15 Sep 2024
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights
Dixi Yao
20
1
0
13 Sep 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
42
43
0
09 Jul 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
Lukas Mauch
Marzieh Edraki
Aaron Courville
OODD
CLL
VLM
54
3
0
03 Jul 2024
Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual
  Text-to-Speech Adaptation
Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual Text-to-Speech Adaptation
Yingting Li
Ambuj Mehrish
Bryan Chew
Bo Cheng
Soujanya Poria
40
0
0
25 Jun 2024
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
Xuelin Qian
Ruiqi Wu
Gong Cheng
Junwei Han
CLL
52
2
0
29 May 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter
  Efficient Finetuning
Trans-LoRA\textit{Trans-LoRA}Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
Runqian Wang
Soumya Ghosh
David D. Cox
Diego Antognini
Aude Oliva
Rogerio Feris
Leonid Karlinsky
34
1
0
27 May 2024
HFT: Half Fine-Tuning for Large Language Models
HFT: Half Fine-Tuning for Large Language Models
Tingfeng Hui
Zhenyu Zhang
Shuohuan Wang
Weiran Xu
Yu Sun
Hua-Hong Wu
CLL
39
4
0
29 Apr 2024
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Yang Lin
Xinyu Ma
Xu Chu
Yujie Jin
Zhibang Yang
Yasha Wang
Hong-yan Mei
52
19
0
15 Apr 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
80
14
0
15 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
64
70
0
03 Apr 2024
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
Shoubin Yu
Jaehong Yoon
Mohit Bansal
77
4
0
08 Feb 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
37
4
0
31 Jan 2024
Large Language Models for Conducting Advanced Text Analytics Information
  Systems Research
Large Language Models for Conducting Advanced Text Analytics Information Systems Research
Benjamin Ampel
Chi-Heng Yang
Junjie Hu
Hsinchun Chen
33
7
0
27 Dec 2023
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on
  Software Engineering Tasks
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks
Wentao Zou
Qi Li
Jidong Ge
Chuanyi Li
Xiaoyu Shen
LiGuo Huang
Bin Luo
24
5
0
25 Dec 2023
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via
  Unsupervised Core-Set Selection
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
Devleena Das
Vivek Khetan
26
0
0
25 Oct 2023
Audio Editing with Non-Rigid Text Prompts
Audio Editing with Non-Rigid Text Prompts
Francesco Paissan
Luca Della Libera
Zhepei Wang
Mirco Ravanelli
Paris Smaragdis
Cem Subakan
DiffM
46
5
0
19 Oct 2023
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
Chia-Chien Hung
Lukas Lange
Jannik Strötgen
30
9
0
22 May 2023
A Stability Analysis of Fine-Tuning a Pre-Trained Model
A Stability Analysis of Fine-Tuning a Pre-Trained Model
Z. Fu
Anthony Man-Cho So
Nigel Collier
23
3
0
24 Jan 2023
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed
  Representations
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Linlin Liu
Xingxuan Li
Megh Thakkar
Xin Li
Shafiq R. Joty
Luo Si
Lidong Bing
27
2
0
16 Nov 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
238
806
0
14 Oct 2021
Raise a Child in Large Language Model: Towards Effective and
  Generalizable Fine-tuning
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
Runxin Xu
Fuli Luo
Zhiyuan Zhang
Chuanqi Tan
Baobao Chang
Songfang Huang
Fei Huang
LRM
145
178
0
13 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
A Theoretical Analysis of the Repetition Problem in Text Generation
A Theoretical Analysis of the Repetition Problem in Text Generation
Z. Fu
Wai Lam
Anthony Man-Cho So
Bei Shi
77
90
0
29 Dec 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
223
438
0
25 Sep 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained
  Language Models
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
MoE
249
205
0
25 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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