ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Zequan, Lyn, Jiawen, Zhu, Wei, Tian, Xing, Graham, Yvette |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
by: Zhang, Jingfan, et al.
Published: (2024)
by: Zhang, Jingfan, et al.
Published: (2024)
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
by: Song, Yurun, et al.
Published: (2024)
by: Song, Yurun, et al.
Published: (2024)
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
by: Liu, Zequan, et al.
Published: (2025)
by: Liu, Zequan, et al.
Published: (2025)
OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models
by: Büyükakyüz, Kerim
Published: (2024)
by: Büyükakyüz, Kerim
Published: (2024)
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
by: Guo, Chenlu, et al.
Published: (2025)
by: Guo, Chenlu, et al.
Published: (2025)
LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning
by: Zhang, Longteng, et al.
Published: (2023)
by: Zhang, Longteng, et al.
Published: (2023)
Low-Rank Adaptation with Task-Relevant Feature Enhancement for Fine-tuning Language Models
by: Li, Changqun, et al.
Published: (2024)
by: Li, Changqun, et al.
Published: (2024)
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
by: Mu, Lin, et al.
Published: (2025)
by: Mu, Lin, et al.
Published: (2025)
TLoRA: Task-aware Low Rank Adaptation of Large Language Models
by: Lin, Weicheng, et al.
Published: (2026)
by: Lin, Weicheng, et al.
Published: (2026)
TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models
by: Cao, Yarui, et al.
Published: (2026)
by: Cao, Yarui, et al.
Published: (2026)
LoRA$^2$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models
by: Zhang, Jia-Chen, et al.
Published: (2024)
by: Zhang, Jia-Chen, et al.
Published: (2024)
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024)
by: Xiao, Xiaojun, et al.
Published: (2024)
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
by: Liu, Zeyu, et al.
Published: (2024)
by: Liu, Zeyu, et al.
Published: (2024)
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
by: Rajabzadeh, Hossein, et al.
Published: (2024)
by: Rajabzadeh, Hossein, et al.
Published: (2024)
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model
by: Yu, Jiayang, et al.
Published: (2025)
by: Yu, Jiayang, et al.
Published: (2025)
EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
by: Liu, Shih-Yang, et al.
Published: (2024)
by: Liu, Shih-Yang, et al.
Published: (2024)
Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning
by: Ji, Yuelyu, et al.
Published: (2024)
by: Ji, Yuelyu, et al.
Published: (2024)
AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts
by: Liu, Zefang, et al.
Published: (2024)
by: Liu, Zefang, et al.
Published: (2024)
ShapLoRA: Allocation of Low-rank Adaption on Large Language Models via Shapley Value Inspired Importance Estimation
by: Zhao, Yi, et al.
Published: (2026)
by: Zhao, Yi, et al.
Published: (2026)
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
by: Sengupta, Ayan, et al.
Published: (2024)
by: Sengupta, Ayan, et al.
Published: (2024)
BeamLoRA: Beam-Constraint Low-Rank Adaptation
by: Gu, Naibin, et al.
Published: (2025)
by: Gu, Naibin, et al.
Published: (2025)
DoRA: Weight-Decomposed Low-Rank Adaptation
by: Liu, Shih-Yang, et al.
Published: (2024)
by: Liu, Shih-Yang, et al.
Published: (2024)
DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Zhang, Haojie
Published: (2025)
by: Zhang, Haojie
Published: (2025)
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
by: Benedek, Nadav, et al.
Published: (2024)
by: Benedek, Nadav, et al.
Published: (2024)
MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
by: Zhao, Jiancheng, et al.
Published: (2025)
by: Zhao, Jiancheng, et al.
Published: (2025)
Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models
by: Jin, Feihu, et al.
Published: (2024)
by: Jin, Feihu, et al.
Published: (2024)
Flexora: Flexible Low Rank Adaptation for Large Language Models
by: Wei, Chenxing, et al.
Published: (2024)
by: Wei, Chenxing, et al.
Published: (2024)
DiffLoRA: Differential Low-Rank Adapters for Large Language Models
by: Misrahi, Alexandre, et al.
Published: (2025)
by: Misrahi, Alexandre, et al.
Published: (2025)
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
by: Chang, Yupeng, et al.
Published: (2024)
by: Chang, Yupeng, et al.
Published: (2024)
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
by: Chen, Yukang, et al.
Published: (2023)
by: Chen, Yukang, et al.
Published: (2023)
Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models
by: Liu, Kainan, et al.
Published: (2026)
by: Liu, Kainan, et al.
Published: (2026)
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
by: Chang, Huandong, et al.
Published: (2025)
by: Chang, Huandong, et al.
Published: (2025)
Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models
by: Luong, Hoang-Chau, et al.
Published: (2026)
by: Luong, Hoang-Chau, et al.
Published: (2026)
TsqLoRA: Towards Sensitivity and Quality Low-Rank Adaptation for Efficient Fine-Tuning
by: Chen, Yu, et al.
Published: (2025)
by: Chen, Yu, et al.
Published: (2025)
HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture
by: Wu, Taiqiang, et al.
Published: (2025)
by: Wu, Taiqiang, et al.
Published: (2025)
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
by: He, Xinyi, et al.
Published: (2025)
by: He, Xinyi, et al.
Published: (2025)
FoRA: Fisher-orthogonal Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Park, Juneyoung, et al.
Published: (2026)
by: Park, Juneyoung, et al.
Published: (2026)
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts
by: Du, Sinan, et al.
Published: (2024)
by: Du, Sinan, et al.
Published: (2024)
Similar Items
-
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
by: Zhang, Jingfan, et al.
Published: (2024) -
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
by: Song, Yurun, et al.
Published: (2024) -
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
by: Liu, Zequan, et al.
Published: (2025) -
OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models
by: Büyükakyüz, Kerim
Published: (2024) -
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
by: Guo, Chenlu, et al.
Published: (2025)