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2304.01933
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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
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Papers citing
"LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
50 / 140 papers shown
Title
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05 May 2025
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
41
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03 May 2025
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Jonas Bokstaller
Julia Altheimer
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02 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
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Guodong Long
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Jing Jiang
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02 May 2025
Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning
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Yumeng Ma
Shuo Wang
Guiran Liu
B. Zhu
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28 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning
Renu Sharma
Debasmita Pal
Arun Ross
OOD
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11 Apr 2025
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
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Jiacheng You
Ashwinee Panda
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10 Apr 2025
Beyond Progress Measures: Theoretical Insights into the Mechanism of Grokking
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04 Apr 2025
Data Poisoning in Deep Learning: A Survey
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Serial Low-rank Adaptation of Vision Transformer
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Shaocheng Shen
Ke Cai
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Jiangchao Yao
Yuan Cheng
Xuefei Li
Xiaoyun Zhang
Li-Na Song
Qiang Hu
44
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22 Mar 2025
Aligning Vision to Language: Text-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning
Junming Liu
Siyuan Meng
Yanting Gao
Song Mao
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Yirong Chen
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Botian Shi
Ding Wang
57
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17 Mar 2025
Learning to Inference Adaptively for Multimodal Large Language Models
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Khoi Duc Nguyen
Preeti Mukherjee
Saurabh Bagchi
Somali Chaterji
Yingyu Liang
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LRM
49
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0
13 Mar 2025
AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution
Cansu Korkmaz
Nancy Mehta
Radu Timofte
67
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10 Mar 2025
Digital Player: Evaluating Large Language Models based Human-like Agent in Games
J. T. Wang
Kai Wang
Shaojie Lin
Runze Wu
Bihan Xu
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Zhipeng Hu
Z. Fan
Le Li
Tangjie Lyu
Changjie Fan
LLMAG
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AI4CE
55
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28 Feb 2025
HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture
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Chenchen Ding
Wenyong Zhou
Yuxin Cheng
Xincheng Feng
Shuqi Wang
Chufan Shi
Z. Liu
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53
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NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
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Haoxiang Jiang
Lincan Li
Ryumei Nakada
Tianci Liu
Linjun Zhang
Huaxiu Yao
Haoyu Wang
77
2
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24 Feb 2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
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Zhenyi Lu
Sichen Liu
Xiaoye Qu
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MoE
147
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The Curse of Depth in Large Language Models
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Pengxiang Li
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Yefeng Zheng
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72
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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
64
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09 Feb 2025
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
166
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0
05 Feb 2025
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
94
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0
03 Feb 2025
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
Guanduo Chen
Yutong He
Yipeng Hu
Kun Yuan
Binhang Yuan
54
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0
03 Feb 2025
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
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28 Jan 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
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Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
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28 Jan 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
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Yuanchen Bei
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Zijin Hong
Junnan Dong
Hao-Heng Chen
Yi-Ju Chang
Xiao Huang
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70
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21 Jan 2025
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
Tianjin Huang
Ziquan Zhu
Gaojie Jin
Lu Liu
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Shiwei Liu
44
1
0
12 Jan 2025
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
Xiaolin Hu
Xiang Cheng
Peiyu Liu
Wei Liu
Jian Luan
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42
1
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31 Dec 2024
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
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Zhuoyan Xu
Yiqiao Zhong
85
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31 Dec 2024
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
Pengxiang Li
Lu Yin
Shiwei Liu
70
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18 Dec 2024
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang
Juyong Jiang
Chansung Park
Sunghun Kim
Jing Tang
94
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08 Dec 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Haizhou Shi
Yibin Wang
Ligong Han
H. M. Zhang
Hao Wang
UQCV
83
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07 Dec 2024
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
68
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0
29 Nov 2024
Towards a Middleware for Large Language Models
Narcisa Guran
Florian Knauf
Man Ngo
Stefan Petrescu
Jan S. Rellermeyer
73
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21 Nov 2024
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
28
2
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07 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura
Teruaki Hayashi
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Mamba
100
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06 Nov 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Junjiao Tian
Chengyue Huang
Z. Kira
38
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On the Crucial Role of Initialization for Matrix Factorization
Bingcong Li
Liang Zhang
Aryan Mokhtari
Niao He
28
1
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24 Oct 2024
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
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
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MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic Report
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Koushik Howlader
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26
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Parameter-Efficient Fine-Tuning of State Space Models
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Wonjun Kang
Yuchen Zeng
H. Koo
Kangwook Lee
31
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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
31
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Hyperbolic Fine-tuning for Large Language Models
Menglin Yang
Aosong Feng
Bo Xiong
Jihong Liu
Irwin King
Rex Ying
23
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Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
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Kaituo Feng
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Xunhao Lai
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Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on Mixed-Signal Accelerators
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On the Feasibility of Fully AI-automated Vishing Attacks
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Frequency-Guided Spatial Adaptation for Camouflaged Object Detection
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Dexuan Kong
Yinghui Xing
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MoRe Fine-Tuning with 10x Fewer Parameters
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Nicholas Roberts
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John Cooper
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