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Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models:
  A Critical Review and Assessment

Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

19 December 2023
Lingling Xu
Haoran Xie
S. J. Qin
Xiaohui Tao
F. Wang
ArXivPDFHTML

Papers citing "Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment"

33 / 83 papers shown
Title
Compressible Dynamics in Deep Overparameterized Low-Rank Learning &
  Adaptation
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
37
13
0
06 Jun 2024
Implicit Neural Image Field for Biological Microscopy Image Compression
Implicit Neural Image Field for Biological Microscopy Image Compression
Gaole Dai
Cheng-Ching Tseng
Qingpo Wuwu
Rongyu Zhang
Shaokang Wang
...
Yu Zhou
A. A. Tuz
Matthias Gunzer
Jianxu Chen
Shanghang Zhang
25
1
0
29 May 2024
Cross-Modal Safety Alignment: Is textual unlearning all you need?
Cross-Modal Safety Alignment: Is textual unlearning all you need?
Trishna Chakraborty
Erfan Shayegani
Zikui Cai
Nael B. Abu-Ghazaleh
M. Salman Asif
Yue Dong
A. Roy-Chowdhury
Chengyu Song
41
16
0
27 May 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via
  Householder Reflection Adaptation
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
Shen Yuan
Haotian Liu
Hongteng Xu
44
2
0
24 May 2024
Worldwide Federated Training of Language Models
Worldwide Federated Training of Language Models
Alexandru Iacob
Lorenzo Sani
Bill Marino
Preslav Aleksandrov
William F. Shen
Nicholas D. Lane
FedML
35
2
0
23 May 2024
Spectral Adapter: Fine-Tuning in Spectral Space
Spectral Adapter: Fine-Tuning in Spectral Space
Fangzhao Zhang
Mert Pilanci
42
10
0
22 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
48
1
0
20 May 2024
BugBlitz-AI: An Intelligent QA Assistant
BugBlitz-AI: An Intelligent QA Assistant
Yi Yao
Jun Wang
Yabai Hu
Lifeng Wang
Yi Zhou
Jack Chen
Xuming Gai
Zhenming Wang
Wenjun Liu
19
1
0
17 May 2024
Refining Joint Text and Source Code Embeddings for Retrieval Task with
  Parameter-Efficient Fine-Tuning
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-Tuning
Karim Galliamov
Leila Khaertdinova
Karina Denisova
38
1
0
07 May 2024
A Survey on the Memory Mechanism of Large Language Model based Agents
A Survey on the Memory Mechanism of Large Language Model based Agents
Zeyu Zhang
Xiaohe Bo
Chen Ma
Rui Li
Xu Chen
Quanyu Dai
Jieming Zhu
Zhenhua Dong
Ji-Rong Wen
LLMAG
KELM
42
107
0
21 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
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized
  Smoothing
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing
Chengyan Fu
Wenjie Wang
AAML
32
0
0
08 Apr 2024
Facial Affective Behavior Analysis with Instruction Tuning
Facial Affective Behavior Analysis with Instruction Tuning
Yifan Li
Anh Dao
Wentao Bao
Zhen Tan
Tianlong Chen
Huan Liu
Yu Kong
CVBM
65
15
0
07 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
73
0
03 Apr 2024
A Review of Multi-Modal Large Language and Vision Models
A Review of Multi-Modal Large Language and Vision Models
Kilian Carolan
Laura Fennelly
Alan F. Smeaton
VLM
22
23
0
28 Mar 2024
Dual-Personalizing Adapter for Federated Foundation Models
Dual-Personalizing Adapter for Federated Foundation Models
Yiyuan Yang
Guodong Long
Taoshu Shen
Jing Jiang
Michael Blumenstein
94
19
0
28 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
150
318
0
21 Mar 2024
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Hakim Sidahmed
Samrat Phatale
Alex Hutcheson
Zhuonan Lin
Zhan Chen
...
Jessica Hoffmann
Hassan Mansoor
Wei Li
Abhinav Rastogi
Lucas Dixon
38
2
0
15 Mar 2024
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient
  Task Adaptation
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation
Yizhe Xiong
Hui Chen
Tianxiang Hao
Zijia Lin
Jungong Han
Yuesong Zhang
Guoxin Wang
Yongjun Bao
Guiguang Ding
51
17
0
14 Mar 2024
In-Context Data Distillation with TabPFN
In-Context Data Distillation with TabPFN
Junwei Ma
Valentin Thomas
Guangwei Yu
Anthony L. Caterini
36
7
0
10 Feb 2024
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Bryan Perozzi
Bahare Fatemi
Dustin Zelle
Anton Tsitsulin
Mehran Kazemi
Rami Al-Rfou
Jonathan J. Halcrow
GNN
42
57
0
08 Feb 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
48
13
0
05 Feb 2024
Health Text Simplification: An Annotated Corpus for Digestive Cancer
  Education and Novel Strategies for Reinforcement Learning
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning
Md Mushfiqur Rahman
Mohammad Sabik Irbaz
Kai North
Michelle S. Williams
Marcos Zampieri
Kevin Lybarger
35
0
0
26 Jan 2024
Parameter-Efficient Tuning with Special Token Adaptation
Parameter-Efficient Tuning with Special Token Adaptation
Xiaoocong Yang
James Y. Huang
Wenxuan Zhou
Muhao Chen
31
12
0
10 Oct 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures
  of Soft Prompts
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Akari Asai
Mohammadreza Salehi
Matthew E. Peters
Hannaneh Hajishirzi
130
100
0
24 May 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
137
277
0
15 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
151
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
3,858
0
18 Apr 2021
Memorisation versus Generalisation in Pre-trained Language Models
Memorisation versus Generalisation in Pre-trained Language Models
Michael Tänzer
Sebastian Ruder
Marek Rei
94
50
0
16 Apr 2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of
  Hypercomplex Multiplications with $1/n$ Parameters
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n1/n1/n Parameters
Aston Zhang
Yi Tay
Shuai Zhang
Alvin Chan
A. Luu
S. Hui
Jie Fu
MQ
182
83
0
17 Feb 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
254
342
0
01 Jan 2021
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
299
6,984
0
20 Apr 2018
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