ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.19342
  4. Cited By
Parameter-Efficient Fine-Tuning via Circular Convolution

Parameter-Efficient Fine-Tuning via Circular Convolution

27 July 2024
Aochuan Chen
Jiashun Cheng
Zijing Liu
Ziqi Gao
Fugee Tsung
Yu-Feng Li
Jia Li
ArXivPDFHTML

Papers citing "Parameter-Efficient Fine-Tuning via Circular Convolution"

50 / 63 papers shown
Title
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
112
3
0
16 Mar 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
Jiajian Li
84
6
0
18 Feb 2025
PETapter: Leveraging PET-style classification heads for modular few-shot
  parameter-efficient fine-tuning
PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning
Jonas Rieger
Mattes Ruckdeschel
Gregor Wiedemann
VLM
77
2
0
06 Dec 2024
Adam-mini: Use Fewer Learning Rates To Gain More
Adam-mini: Use Fewer Learning Rates To Gain More
Yushun Zhang
Congliang Chen
Ziniu Li
Tian Ding
Chenwei Wu
Yinyu Ye
Zhi-Quan Luo
Ruoyu Sun
68
48
0
24 Jun 2024
The Impact of Initialization on LoRA Finetuning Dynamics
The Impact of Initialization on LoRA Finetuning Dynamics
Soufiane Hayou
Nikhil Ghosh
Bin Yu
AI4CE
52
21
0
12 Jun 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
63
3
0
24 May 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
Ziqi Gao
Qichao Wang
Aochuan Chen
Zijing Liu
Bingzhe Wu
Liang Chen
Jia Li
64
28
0
05 May 2024
LoRA+: Efficient Low Rank Adaptation of Large Models
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou
Nikhil Ghosh
Bin Yu
AI4CE
69
161
0
19 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
Yuhan Li
Peisong Wang
Zhixun Li
Jeffrey Xu Yu
Jia Li
52
41
0
17 Feb 2024
DoRA: Weight-Decomposed Low-Rank Adaptation
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
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
Mahdi Nikdan
Soroush Tabesh
Elvir Crnčević
Dan Alistarh
50
28
0
09 Jan 2024
Magicoder: Empowering Code Generation with OSS-Instruct
Magicoder: Empowering Code Generation with OSS-Instruct
Yuxiang Wei
Zhe Wang
Jiawei Liu
Yifeng Ding
Lingming Zhang
SyDa
50
107
0
04 Dec 2023
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
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
74
63
0
10 Nov 2023
The Expressive Power of Low-Rank Adaptation
The Expressive Power of Low-Rank Adaptation
Yuchen Zeng
Kangwook Lee
69
57
0
26 Oct 2023
VeRA: Vector-based Random Matrix Adaptation
VeRA: Vector-based Random Matrix Adaptation
D. J. Kopiczko
Tijmen Blankevoort
Yuki Markus Asano
VLM
59
143
0
17 Oct 2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language
  Models
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
L. Yu
Weisen Jiang
Han Shi
Jincheng Yu
Zhengying Liu
Yu Zhang
James T. Kwok
Zheng Li
Adrian Weller
Weiyang Liu
OSLM
LRM
76
363
0
21 Sep 2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Ziyang Luo
Can Xu
Pu Zhao
Qingfeng Sun
Xiubo Geng
Wenxiang Hu
Chongyang Tao
Jing Ma
Qingwei Lin
Daxin Jiang
ELM
SyDa
ALM
68
665
0
14 Jun 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Zeju Qiu
Wei-yu Liu
Haiwen Feng
Yuxuan Xue
Yao Feng
Zhen Liu
Dan Zhang
Adrian Weller
Bernhard Schölkopf
DiffM
66
148
0
12 Jun 2023
Fine-Tuning Language Models with Just Forward Passes
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
100
186
0
27 May 2023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of
  Large Language Models for Code Generation
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu
Chun Xia
Yuyao Wang
Lingming Zhang
ELM
ALM
205
859
0
02 May 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
266
7,047
0
05 Apr 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S. Basu
Daniela Massiceti
S. Hu
Soheil Feizi
VLM
63
30
0
04 Apr 2023
Practical Solutions in Fully Homomorphic Encryption -- A Survey
  Analyzing Existing Acceleration Methods
Practical Solutions in Fully Homomorphic Encryption -- A Survey Analyzing Existing Acceleration Methods
Yanwei Gong
Xiaolin Chang
J. Misic
Vojislav B. Mišić
Jianhua Wang
Haoran Zhu
63
9
0
20 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
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
871
12,840
0
27 Feb 2023
On the Effectiveness of Parameter-Efficient Fine-Tuning
On the Effectiveness of Parameter-Efficient Fine-Tuning
Z. Fu
Haoran Yang
Anthony Man-Cho So
Wai Lam
Lidong Bing
Nigel Collier
43
156
0
28 Nov 2022
Understanding and Improving Visual Prompting: A Label-Mapping
  Perspective
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
Aochuan Chen
Yuguang Yao
Pin-Yu Chen
Yihua Zhang
Sijia Liu
VPVLM
VLM
92
79
0
21 Nov 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
60
255
0
17 Oct 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than
  In-Context Learning
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu
Derek Tam
Mohammed Muqeeth
Jay Mohta
Tenghao Huang
Joey Tianyi Zhou
Colin Raffel
74
881
0
11 May 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLM
VPVLM
105
1,576
0
23 Mar 2022
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLM
OffRL
LRM
200
4,175
0
27 Oct 2021
Towards a Unified View of Parameter-Efficient Transfer Learning
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He
Chunting Zhou
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
AAML
85
918
0
08 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
165
183
0
13 Sep 2021
Program Synthesis with Large Language Models
Program Synthesis with Large Language Models
Jacob Austin
Augustus Odena
Maxwell Nye
Maarten Bosma
Henryk Michalewski
...
Ellen Jiang
Carrie J. Cai
Michael Terry
Quoc V. Le
Charles Sutton
ELM
AIMat
ReCod
ALM
97
1,893
0
16 Aug 2021
Evaluating Large Language Models Trained on Code
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
161
5,328
0
07 Jul 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
145
1,191
0
18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
268
10,099
0
17 Jun 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
275
692
0
22 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
696
28,659
0
26 Feb 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
182
4,209
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
340
1,950
0
31 Dec 2020
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
53
391
0
14 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
418
40,217
0
22 Oct 2020
AdapterDrop: On the Efficiency of Adapters in Transformers
AdapterDrop: On the Efficiency of Adapters in Transformers
Andreas Rucklé
Gregor Geigle
Max Glockner
Tilman Beck
Jonas Pfeiffer
Nils Reimers
Iryna Gurevych
99
259
0
22 Oct 2020
Measuring Massive Multitask Language Understanding
Measuring Massive Multitask Language Understanding
Dan Hendrycks
Collin Burns
Steven Basart
Andy Zou
Mantas Mazeika
D. Song
Jacob Steinhardt
ELM
RALM
139
4,222
0
07 Sep 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
514
41,106
0
28 May 2020
PIQA: Reasoning about Physical Commonsense in Natural Language
PIQA: Reasoning about Physical Commonsense in Natural Language
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
OOD
LRM
103
1,724
0
26 Nov 2019
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain
  Conversation
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
Juraj Juraska
Kevin K. Bowden
M. Walker
37
44
0
26 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
298
641
0
19 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
419
24,160
0
26 Jul 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
179
1,475
0
24 May 2019
12
Next