Awesome-LoRA is a collection of state-of-the-art (SOTA), novel low-rank adaptation methods (papers, codes and datasets). Any other interesting papers and codes are welcome. Any problems, please contact jiyuheng2023@ia.ac.cn . If you find this repository useful to your research or work, it is really appreciated to star this repository. ✨
What's LoRA (Low-Rank Adaptation)?
LoRA is an efficient finetuning technique proposed by Microsoft researchers to adapt large models to specific tasks and datasets.
Year
Title
Venue
Paper
Code
2022
LoRA: Low-Rank Adaptation of Large Language Models
ICLR
Link
Link
Year
Title
Venue
Paper
Code
-
-
-
-
-
Year
Title
Venue
Paper
Code
2024
AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models
arXiv
Link
-
2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML
Link
Link
2024
LoNAS: Elastic Low-Rank Adapters for Efficient Large Language
COLING
Link
Link
2024
LoRA Learns Less and Forgets Less
arXiv
Link
-
2024
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
arXiv
Link
Link
2024
LoRA+: Efficient Low Rank Adaptation of Large Models
arXiv
Link
Link
2024
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
arXiv
Link
-
2024
Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models
arXiv
Link
Link
2024
Multi-LoRA Composition for Image Generation
arXiv
Link
Link
2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models
arXiv
Link
-
2024
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
arXiv
Link
-
2024
LoRA Meets Dropout under a Unified Framework
arXiv
Link
-
2024
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
arXiv
Link
Link
2024
Galore: Memory-efficient llm training by gradient low-rank projection
ICML
Link
Link
2024
Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model
arXiv
Link
-
2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
arXiv
Link
-
2023
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation
EACL
Link
Link
2023
The expressive power of low-rank adaptation
ICLR
Link
Link
2023
Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF
arXiv
Link
Link
2023
Deep Learning Model Compression With Rank Reduction in Tensor Decomposition
TNNLS
Link
-
2023
Loramoe: Revolutionizing mixture of experts for maintaining world knowledge in language model alignment
arXiv
Link
-
2023
Bayesian Low-rank Adaptation for Large Language Models
ICLR
Link
Link
2023
Lora-fa: Memory-efficient low-rank adaptation for large language models fine-tuning
arXiv
Link
-
2023
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
PMLR
Link
Link
2023
Sparse low-rank adaptation of pre-trained language models
EMNLP
Link
Link
2023
Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition
ASRU
Link
-
2023
SiRA: Sparse Mixture of Low Rank Adaptation
arXiv
Link
-
2022
LoRA: Low-Rank Adaptation of Large Language Models
ICLR
Link
Link
Year
Title
Venue
Paper
Code
2021
Compacter: Efficient low-rank hypercomplex adapter layers
NeurIPS
Link
Link
Huggingface PEFT Link