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2505.18877
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RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
24 May 2025
Yilang Zhang
Bingcong Li
G. Giannakis
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Papers citing
"RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models"
46 / 46 papers shown
Title
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino
F. Tonin
Yongtao Wu
Frank Zhengqing Wu
Leyla Naz Candogan
Volkan Cevher
MQ
128
5
0
07 Mar 2025
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
Jui-Nan Yen
Si Si
Zhao Meng
Felix X. Yu
Sai Surya Duvvuri
Inderjit Dhillon
Cho-Jui Hsieh
Sanjiv Kumar
47
5
0
27 Oct 2024
On the Crucial Role of Initialization for Matrix Factorization
Bingcong Li
Liang Zhang
Aryan Mokhtari
Niao He
109
4
0
24 Oct 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
Bingcong Li
Liang Zhang
Niao He
71
6
0
18 Oct 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang
Jian Liang
Ran He
Zilei Wang
Tieniu Tan
97
25
0
25 Jul 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang
Linxi Yu
Jian Li
ALM
AI4CE
64
41
0
06 Jul 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
Vijay Lingam
Atula Tejaswi
Aditya Vavre
Aneesh Shetty
Gautham Krishna Gudur
Joydeep Ghosh
Alexandros G. Dimakis
Eunsol Choi
Aleksandar Bojchevski
Sujay Sanghavi
82
14
0
30 May 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
Ziqi Gao
Qichao Wang
Aochuan Chen
Zijing Liu
Bingzhe Wu
Liang Chen
Jia Li
59
28
0
05 May 2024
ReFT: Representation Finetuning for Language Models
Zhengxuan Wu
Aryaman Arora
Zheng Wang
Atticus Geiger
Daniel Jurafsky
Christopher D. Manning
Christopher Potts
OffRL
85
67
0
04 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
103
92
0
03 Apr 2024
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou
Nikhil Ghosh
Bin Yu
AI4CE
69
161
0
19 Feb 2024
DoRA: Weight-Decomposed Low-Rank Adaptation
Shih-yang Liu
Chien-Yi Wang
Hongxu Yin
Pavlo Molchanov
Yu-Chiang Frank Wang
Kwang-Ting Cheng
Min-Hung Chen
64
374
0
14 Feb 2024
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
Yongchang Hao
Yanshuai Cao
Lili Mou
49
47
0
05 Feb 2024
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
Fangzhao Zhang
Mert Pilanci
AI4CE
97
20
0
04 Feb 2024
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Weiyang Liu
Zeju Qiu
Yao Feng
Yuliang Xiu
Yuxuan Xue
...
Songyou Peng
Yandong Wen
Michael J. Black
Adrian Weller
Bernhard Schölkopf
70
63
0
10 Nov 2023
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Yixiao Li
Yifan Yu
Chen Liang
Pengcheng He
Nikos Karampatziakis
Weizhu Chen
Tuo Zhao
MQ
53
133
0
12 Oct 2023
Enhancing Sharpness-Aware Optimization Through Variance Suppression
Bingcong Li
G. Giannakis
AAML
52
20
0
27 Sep 2023
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
Shin-Ying Yeh
Yu-Guan Hsieh
Zhidong Gao
Bernard B. W. Yang
Giyeong Oh
Yanmin Gong
28
78
0
26 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
206
11,636
0
18 Jul 2023
ReLoRA: High-Rank Training Through Low-Rank Updates
Vladislav Lialin
Namrata Shivagunde
Sherin Muckatira
Anna Rumshisky
BDL
53
102
0
11 Jul 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Zhiqiang Hu
Lei Wang
Yihuai Lan
Wanyu Xu
Ee-Peng Lim
Lidong Bing
Xing Xu
Soujanya Poria
Roy Ka-wei Lee
ALM
78
249
0
04 Apr 2023
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
631
13,788
0
15 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALM
PILM
813
12,840
0
27 Feb 2023
Galactica: A Large Language Model for Science
Ross Taylor
Marcin Kardas
Guillem Cucurull
Thomas Scialom
Anthony Hartshorn
Elvis Saravia
Andrew Poulton
Viktor Kerkez
Robert Stojnic
ELM
ReLM
88
754
0
16 Nov 2022
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung
Varun Nair
Colin Raffel
FedML
64
200
0
18 Nov 2021
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
Pengcheng He
Jianfeng Gao
Weizhu Chen
112
1,155
0
18 Nov 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Nam Hyeon-Woo
Moon Ye-Bin
Tae-Hyun Oh
FedML
51
120
0
13 Aug 2021
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELM
ALM
155
5,328
0
07 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
458
3,952
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
174
4,209
0
01 Jan 2021
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
50
391
0
14 Dec 2020
AdapterDrop: On the Efficiency of Adapters in Transformers
Andreas Rucklé
Gregor Geigle
Max Glockner
Tilman Beck
Jonas Pfeiffer
Nils Reimers
Iryna Gurevych
96
259
0
22 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
164
1,323
0
03 Oct 2020
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent
Tian Tong
Cong Ma
Yuejie Chi
54
116
0
18 May 2020
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Zhaojiang Lin
Andrea Madotto
Pascale Fung
82
160
0
08 Apr 2020
PIQA: Reasoning about Physical Commonsense in Natural Language
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
OOD
LRM
91
1,724
0
26 Nov 2019
HellaSwag: Can a Machine Really Finish Your Sentence?
Rowan Zellers
Ari Holtzman
Yonatan Bisk
Ali Farhadi
Yejin Choi
80
2,373
0
19 May 2019
Parameter-Efficient Transfer Learning for NLP
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
189
4,368
0
02 Feb 2019
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora
Nadav Cohen
Noah Golowich
Wei Hu
100
284
0
04 Oct 2018
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
Peter Clark
Tushar Khot
Ashish Sabharwal
74
1,475
0
08 Sep 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALM
ELM
192
2,830
0
11 Jun 2018
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
S. Du
Wei Hu
Jason D. Lee
MLT
119
239
0
04 Jun 2018
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
174
1,390
0
31 May 2018
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
658
7,080
0
20 Apr 2018
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Daniel Cer
Mona T. Diab
Eneko Agirre
I. Lopez-Gazpio
Lucia Specia
210
1,870
0
31 Jul 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
402
4,444
0
18 Apr 2017
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