Machine Learning · Computer Science
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation
Grigory Malinovsky, Umberto Michieli, Hasan Abed Al Kader Hammoud, Taha Ceritli +3
2024-10-14
Computation and Language · Computer Science
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda
2024-03-25
Machine Learning · Computer Science
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song +1
2025-06-09
Computation and Language · Computer Science
DoRA: Weight-Decomposed Low-Rank Adaptation
Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov +3
2024-07-10
Instrumentation and Methods for Astrophysics · Physics
Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction
Vikram Seenivasan, Srinath Saikrishnan, Andrew Lizarraga, Jonathan Soriano +2
2026-01-05
Machine Learning · Computer Science
GoRA: Gradient-driven Adaptive Low Rank Adaptation
Haonan He, Peng Ye, Yuchen Ren, Yuan Yuan +3
2025-10-27
Machine Learning · Computer Science
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang, Jian Liang, Ran He, Zilei Wang +1
2025-03-25
Machine Learning · Computer Science
RepLoRA: Reparameterizing Low-Rank Adaptation via the Perspective of Mixture of Experts
Tuan Truong, Chau Nguyen, Huy Nguyen, Minh Le +2
2025-06-10
Computation and Language · Computer Science
LoTR: Low Tensor Rank Weight Adaptation
Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev +1
2024-02-06
Machine Learning · Statistics
Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters
Anastasis Kratsios, Tin Sum Cheng, Aurelien Lucchi, Haitz Sáez de Ocáriz Borde
2025-06-18
Machine Learning · Computer Science
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
Theo Putterman, Derek Lim, Yoav Gelberg, Stefanie Jegelka +1
2024-10-16
Machine Learning · Computer Science
Mixture-of-Subspaces in Low-Rank Adaptation
Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
2025-03-04
Machine Learning · Computer Science
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
Jui-Nan Yen, Si Si, Zhao Meng, Felix Yu +4
2025-07-18
Computer Vision and Pattern Recognition · Computer Science
Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes
Chuyan Zhang, Kefan Wang, Yun Gu
2025-07-02
Machine Learning · Computer Science
A Survey on LoRA of Large Language Models
Yuren Mao, Yuhang Ge, Yijiang Fan, Wenyi Xu +3
2024-10-25
Machine Learning · Computer Science
$\alpha$-LoRA: Effective Fine-Tuning via Base Model Rescaling
Aymane El Firdoussi, El Mahdi Chayti, Mohamed El Amine Seddik, Martin Jaggi
2025-10-27
Computation and Language · Computer Science
LoRTA: Low Rank Tensor Adaptation of Large Language Models
Ignacio Hounie, Charilaos Kanatsoulis, Arnuv Tandon, Alejandro Ribeiro
2025-02-04
Machine Learning · Computer Science
AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing
Jiacheng Li, Jianchao Tan, Zhidong Yang, Feiye Huo +3
2026-01-06