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LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of
  Large Language Models

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

4 April 2023
Zhiqiang Hu
Lei Wang
Yihuai Lan
Wanyu Xu
Ee-Peng Lim
Lidong Bing
Xing Xu
Soujanya Poria
Roy Ka-Wei Lee
    ALM
ArXivPDFHTML

Papers citing "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

50 / 141 papers shown
Title
SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization
SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization
Haodong Yang
Lei Wang
Md Zakir Hossain
7
0
0
18 May 2025
Memory-Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
Memory-Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
Fei Wu
Jia Hu
Geyong Min
Shiqiang Wang
17
0
0
16 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Praneeth Vepakomma
Wei Ni
Jun Luo
Yue Gao
MoE
46
2
0
05 May 2025
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Yezhen Wang
Zhouhao Yang
Brian K Chen
Fanyi Pu
Bo-wen Li
Tianyu Gao
Kenji Kawaguchi
43
0
0
03 May 2025
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
Jonas Bokstaller
Julia Altheimer
Julian Dormehl
Alina Buss
Jasper Wiltfang
Johannes Schneider
Maximilian Röglinger
24
0
0
02 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Yiyuan Yang
Guodong Long
Dinesh Manocha
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
189
1
0
02 May 2025
Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning
Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning
Hanlu Zhang
Yumeng Ma
Shuo Wang
Guiran Liu
B. Zhu
50
2
0
28 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning
Task-conditioned Ensemble of Expert Models for Continuous Learning
Renu Sharma
Debasmita Pal
Arun Ross
OOD
KELM
174
0
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
53
1
0
10 Apr 2025
Beyond Progress Measures: Theoretical Insights into the Mechanism of Grokking
Beyond Progress Measures: Theoretical Insights into the Mechanism of Grokking
Zihan Gu
Ruoyu Chen
Hua Zhang
Yue Hu
Xiaochun Cao
39
0
0
04 Apr 2025
Data Poisoning in Deep Learning: A Survey
Data Poisoning in Deep Learning: A Survey
Pinlong Zhao
Weiyao Zhu
Pengfei Jiao
Di Gao
Ou Wu
AAML
39
0
0
27 Mar 2025
Serial Low-rank Adaptation of Vision Transformer
Serial Low-rank Adaptation of Vision Transformer
Houqiang Zhong
Shaocheng Shen
Ke Cai
Zhenglong Wu
Jiangchao Yao
Yuan Cheng
Xuefei Li
Xiaoyun Zhang
Li-Na Song
Qiang Hu
47
0
0
22 Mar 2025
Aligning Vision to Language: Text-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning
Aligning Vision to Language: Text-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning
Junming Liu
Siyuan Meng
Yanting Gao
Song Mao
Pinlong Cai
Guohang Yan
Yirong Chen
Zilin Bian
Botian Shi
Ding Wang
57
1
0
17 Mar 2025
Learning to Inference Adaptively for Multimodal Large Language Models
Learning to Inference Adaptively for Multimodal Large Language Models
Zhuoyan Xu
Khoi Duc Nguyen
Preeti Mukherjee
Saurabh Bagchi
Somali Chaterji
Yingyu Liang
Yin Li
LRM
49
1
0
13 Mar 2025
AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution
Cansu Korkmaz
Nancy Mehta
Radu Timofte
67
0
0
10 Mar 2025
Digital Player: Evaluating Large Language Models based Human-like Agent in Games
Digital Player: Evaluating Large Language Models based Human-like Agent in Games
J. T. Wang
Kai Wang
Shaojie Lin
Runze Wu
Bihan Xu
...
Zhipeng Hu
Z. Fan
Le Li
Tangjie Lyu
Changjie Fan
LLMAG
ELM
AI4CE
55
1
0
28 Feb 2025
HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture
HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture
Taiqiang Wu
Chenchen Ding
Wenyong Zhou
Yuxin Cheng
Xincheng Feng
Shuqi Wang
Chufan Shi
Z. Liu
Ngai Wong
58
0
0
27 Feb 2025
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
Yibo Zhong
Haoxiang Jiang
Lincan Li
Ryumei Nakada
Tianci Liu
Linjun Zhang
Huaxiu Yao
Haoyu Wang
79
2
0
24 Feb 2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Chenghao Fan
Zhenyi Lu
Sichen Liu
Xiaoye Qu
Wei Wei
Chengfeng Gu
Yu-Xi Cheng
MoE
162
0
0
24 Feb 2025
The Curse of Depth in Large Language Models
The Curse of Depth in Large Language Models
Wenfang Sun
Xinyuan Song
Pengxiang Li
Lu Yin
Yefeng Zheng
Shiwei Liu
75
4
0
09 Feb 2025
Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble
Atsushi Nitanda
Anzelle Lee
Damian Tan Xing Kai
Mizuki Sakaguchi
Taiji Suzuki
AI4CE
67
1
0
09 Feb 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du
Yinjie Min
Jingjing Li
Ke Lu
Changliang Zou
Liuhua Peng
Tingjin Chu
Mingming Gong
186
1
0
05 Feb 2025
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
Paul Albert
Frederic Z. Zhang
Hemanth Saratchandran
Cristian Rodriguez-Opazo
Anton van den Hengel
Ehsan Abbasnejad
96
1
0
03 Feb 2025
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
Guanduo Chen
Yutong He
Yipeng Hu
Kun Yuan
Binhang Yuan
54
0
0
03 Feb 2025
Sparse High Rank Adapters
Sparse High Rank Adapters
K. Bhardwaj
N. Pandey
Sweta Priyadarshi
Viswanath Ganapathy
Rafael Esteves
...
P. Whatmough
Risheek Garrepalli
M. V. Baalen
Harris Teague
Markus Nagel
MQ
43
4
0
28 Jan 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Min Zhang
LM&MA
AILaw
93
154
0
28 Jan 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang
Shengyuan Chen
Yuanchen Bei
Zheng Yuan
Huachi Zhou
Zijin Hong
Junnan Dong
Hao-Heng Chen
Yi-Ju Chang
Xiao Huang
3DV
70
8
0
21 Jan 2025
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
Tianjin Huang
Ziquan Zhu
Gaojie Jin
Lu Liu
Zhangyang Wang
Shiwei Liu
44
1
0
12 Jan 2025
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
Xiaolin Hu
Xiang Cheng
Peiyu Liu
Wei Liu
Jian Luan
Bin Wang
Y. Liu
42
1
0
31 Dec 2024
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
88
4
0
31 Dec 2024
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and
  Post-LN
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
Pengxiang Li
Lu Yin
Shiwei Liu
70
4
0
18 Dec 2024
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang
Juyong Jiang
Chansung Park
Sunghun Kim
Jing Tang
94
1
0
08 Dec 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Haizhou Shi
Yibin Wang
Ligong Han
Huan Zhang
Hao Wang
UQCV
83
0
0
07 Dec 2024
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Kaustubh Ponkshe
Raghav Singhal
Eduard A. Gorbunov
Alexey Tumanov
Samuel Horváth
Praneeth Vepakomma
71
2
0
29 Nov 2024
Towards a Middleware for Large Language Models
Towards a Middleware for Large Language Models
Narcisa Guran
Florian Knauf
Man Ngo
Stefan Petrescu
Jan S. Rellermeyer
73
1
0
21 Nov 2024
Robust and Efficient Fine-tuning of LLMs with Bayesian
  Reparameterization of Low-Rank Adaptation
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
Ayan Sengupta
Vaibhav Seth
Arinjay Pathak
Natraj Raman
Sriram Gopalakrishnan
Tanmoy Chakraborty
BDL
30
2
0
07 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura
Teruaki Hayashi
Yota Maeda
Mamba
100
2
0
06 Nov 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Junjiao Tian
Chengyue Huang
Z. Kira
44
1
0
03 Nov 2024
On the Crucial Role of Initialization for Matrix Factorization
On the Crucial Role of Initialization for Matrix Factorization
Bingcong Li
Liang Zhang
Aryan Mokhtari
Niao He
28
1
0
24 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Liwen Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
49
3
0
24 Oct 2024
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis
  with Large Language Models
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models
Hongcheng Ding
Fuzhen Hu
Xuanze Zhao
Zixiao Jiang
Shamsul Nahar Abdullah
Deshinta Arrova Dewi
21
0
0
22 Oct 2024
MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays,
  ECGs, and Diagnostic Report
MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic Report
Samrajya Thapa
Koushik Howlader
Subhankar Bhattacharjee
Wei le
MedIm
28
1
0
21 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models
Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim
Wonjun Kang
Yuchen Zeng
H. Koo
Kangwook Lee
31
4
0
11 Oct 2024
One Initialization to Rule them All: Fine-tuning via Explained Variance
  Adaptation
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
Fabian Paischer
Lukas Hauzenberger
Thomas Schmied
Benedikt Alkin
Marc Peter Deisenroth
Sepp Hochreiter
37
4
0
09 Oct 2024
Hyperbolic Fine-tuning for Large Language Models
Hyperbolic Fine-tuning for Large Language Models
Menglin Yang
Aosong Feng
Bo Xiong
Jihong Liu
Irwin King
Rex Ying
23
1
0
05 Oct 2024
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank
  Constraint?
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
Xi Chen
Kaituo Feng
Changsheng Li
Xunhao Lai
Xiangyu Yue
Ye Yuan
Guoren Wang
47
7
0
02 Oct 2024
Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on
  Mixed-Signal Accelerators
Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on Mixed-Signal Accelerators
Seyedarmin Azizi
Mohammad Erfan Sadeghi
M. Kamal
Massoud Pedram
27
2
0
27 Sep 2024
On the Feasibility of Fully AI-automated Vishing Attacks
On the Feasibility of Fully AI-automated Vishing Attacks
João Figueiredo
Afonso Carvalho
Daniel Castro
Daniel Gonçalves
Nuno Santos
27
2
0
20 Sep 2024
Frequency-Guided Spatial Adaptation for Camouflaged Object Detection
Frequency-Guided Spatial Adaptation for Camouflaged Object Detection
Shizhou Zhang
Dexuan Kong
Yinghui Xing
Yue Lu
Lingyan Ran
Guoqiang Liang
Hexu Wang
Yanning Zhang
38
5
0
19 Sep 2024
Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for
  Scholarly Knowledge Organization
Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for Scholarly Knowledge Organization
Gollam Rabby
Sören Auer
Jennifer D'Souza
A. Oelen
148
2
0
10 Sep 2024
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