LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Han, Greengard, Philip, Xing, Eric P., Kim, Yoon |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ID-LoRA: Efficient Low-Rank Adaptation Inspired by Matrix Interpolative Decomposition
by: Ma, Xindian, et al.
Published: (2026)
by: Ma, Xindian, et al.
Published: (2026)
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
by: Qin, Haotong, et al.
Published: (2024)
by: Qin, Haotong, et al.
Published: (2024)
Efficient Multilingual ASR Finetuning via LoRA Language Experts
by: Li, Jiahong, et al.
Published: (2025)
by: Li, Jiahong, et al.
Published: (2025)
Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
by: Gupta, Prakhar, et al.
Published: (2026)
by: Gupta, Prakhar, et al.
Published: (2026)
PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models
by: Hayou, Soufiane, et al.
Published: (2025)
by: Hayou, Soufiane, et al.
Published: (2025)
The Impact of Initialization on LoRA Finetuning Dynamics
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
LoRA-Drop: Temporal LoRA Decoding for Efficient LLM Inference
by: Rajabzadeh, Hossein, et al.
Published: (2026)
by: Rajabzadeh, Hossein, et al.
Published: (2026)
Flexi-LoRA with Input-Adaptive Ranks: Efficient Finetuning for Speech and Reasoning Tasks
by: Li, Zongqian, et al.
Published: (2026)
by: Li, Zongqian, et al.
Published: (2026)
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
by: Wang, Hanqing, et al.
Published: (2024)
by: Wang, Hanqing, et al.
Published: (2024)
LoRA Learns Less and Forgets Less
by: Biderman, Dan, et al.
Published: (2024)
by: Biderman, Dan, et al.
Published: (2024)
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
by: Zhang, Shijia, et al.
Published: (2025)
by: Zhang, Shijia, et al.
Published: (2025)
$D^2LoRA$: Data-Driven LoRA Initialization for Low Resource Tasks
by: SeraJ, Javad, et al.
Published: (2025)
by: SeraJ, Javad, et al.
Published: (2025)
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
by: Xiao, Yicheng, et al.
Published: (2025)
by: Xiao, Yicheng, et al.
Published: (2025)
QuAILoRA: Quantization-Aware Initialization for LoRA
by: Lawton, Neal, et al.
Published: (2024)
by: Lawton, Neal, et al.
Published: (2024)
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024)
by: Tian, Chunlin, et al.
Published: (2024)
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
by: Zhou, Hongyun, et al.
Published: (2024)
by: Zhou, Hongyun, et al.
Published: (2024)
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)
by: Deng, Guanzhi, et al.
Published: (2026)
CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices
by: Zhao, Weilin, et al.
Published: (2023)
by: Zhao, Weilin, et al.
Published: (2023)
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
by: Meng, Xiangdi, et al.
Published: (2024)
by: Meng, Xiangdi, et al.
Published: (2024)
Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates
by: Xu, Yixing, et al.
Published: (2025)
by: Xu, Yixing, et al.
Published: (2025)
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
by: Zhang, Yuxuan, et al.
Published: (2024)
by: Zhang, Yuxuan, et al.
Published: (2024)
Vision as LoRA
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
by: Ran, Delong, et al.
Published: (2025)
by: Ran, Delong, et al.
Published: (2025)
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025)
by: Lee, Seungeon, et al.
Published: (2025)
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026)
by: Chen, Nan, et al.
Published: (2026)
A Note on LoRA
by: Fomenko, Vlad, et al.
Published: (2024)
by: Fomenko, Vlad, et al.
Published: (2024)
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search
by: Seong-Eun, Baek, et al.
Published: (2026)
by: Seong-Eun, Baek, et al.
Published: (2026)
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, et al.
Published: (2025)
by: Li, Yanan, 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)
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)
by: Azimi, Rambod, et al.
Published: (2024)
LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
by: Singh, Ayush, et al.
Published: (2024)
by: Singh, Ayush, et al.
Published: (2024)
How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
by: Xu, Ziwen, et al.
Published: (2026)
by: Xu, Ziwen, et al.
Published: (2026)
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
by: Zhu, JianHao, et al.
Published: (2024)
by: Zhu, JianHao, et al.
Published: (2024)
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
A Survey on LoRA of Large Language Models
by: Mao, Yuren, et al.
Published: (2024)
by: Mao, Yuren, et al.
Published: (2024)
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
by: Huang, Yining, et al.
Published: (2025)
by: Huang, Yining, 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)
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
by: Guo, Han, et al.
Published: (2024)
by: Guo, Han, et al.
Published: (2024)
LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Model
by: Salles, Marcel Mateos, et al.
Published: (2025)
by: Salles, Marcel Mateos, et al.
Published: (2025)
Similar Items
-
ID-LoRA: Efficient Low-Rank Adaptation Inspired by Matrix Interpolative Decomposition
by: Ma, Xindian, et al.
Published: (2026) -
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
by: Qin, Haotong, et al.
Published: (2024) -
Efficient Multilingual ASR Finetuning via LoRA Language Experts
by: Li, Jiahong, et al.
Published: (2025) -
Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
by: Gupta, Prakhar, et al.
Published: (2026) -
PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models
by: Hayou, Soufiane, et al.
Published: (2025)