:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Yuhan, Ding, Yibo, Ye, Yutong, Zhao, Mufan, Zhang, Wenbo, Wang, Ruijie, Li, Jianxin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2606.01873
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LoRA-GA: Low-Rank Adaptation with Gradient Approximation
by: Wang, Shaowen, et al.
Published: (2024)

C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
by: Zhang, Xin, et al.
Published: (2025)

Null-LoRA: Low-Rank Adaptation on Null Space
by: Zhang, Yi, et al.
Published: (2025)

LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)

Bernoulli-LoRA: A Theoretical Framework for Randomized Low-Rank Adaptation
by: Sokolov, Igor, et al.
Published: (2025)

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging
by: Zheng, Shenghe, et al.
Published: (2025)

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs
by: Wang, Yuhan, et al.
Published: (2026)

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
by: Meng, Xiangdi, et al.
Published: (2024)

Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
by: Wu, Yize, et al.
Published: (2026)

1LoRA: Summation Compression for Very Low-Rank Adaptation
by: Quercia, Alessio, et al.
Published: (2025)

Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
by: Wei, Xiwen, et al.
Published: (2024)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
by: He, Jiangpeng, et al.
Published: (2025)

Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape
by: Li, Tao, et al.
Published: (2024)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, et al.
Published: (2024)

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
by: Wu, Yichen, et al.
Published: (2025)

Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation
by: Malinovsky, Grigory, et al.
Published: (2024)

AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping
by: Dong, Haonan, et al.
Published: (2025)

Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
by: Lin, Moule, et al.
Published: (2026)

LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
by: Bałazy, Klaudia, et al.
Published: (2024)

Fast and Continual Knowledge Graph Embedding via Incremental LoRA
by: Liu, Jiajun, et al.
Published: (2024)

GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
by: Yang, Zhe-Rui, et al.
Published: (2024)

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
by: Zuo, Jingwei, et al.
Published: (2026)

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
by: Xu, Ziqing, et al.
Published: (2025)

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models
by: Wang, Yaopeng, et al.
Published: (2026)

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
by: Chen, Guanduo, et al.
Published: (2025)

C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
by: Rahmati, Amir Hossein, et al.
Published: (2025)

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)

FIM-LoRA: Task-Informative Rank Allocation for LoRA via Calibration-Time Gradient-Variance Estimation
by: Sathyavageeswaran, Ramakrishnan
Published: (2026)

Vision as LoRA
by: Wang, Han, et al.
Published: (2025)

HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation
by: Chen, Lixian, et al.
Published: (2026)

PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation
by: Hwang, Injoon, et al.
Published: (2024)

ID-LoRA: Efficient Low-Rank Adaptation Inspired by Matrix Interpolative Decomposition
by: Ma, Xindian, et al.
Published: (2026)

ABM-LoRA: Activation Boundary Matching for Fast Convergence in Low-Rank Adaptation
by: Lee, Dongha, et al.
Published: (2025)

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
by: Yu, Xiaobing, et al.
Published: (2025)

CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models
by: Wang, Zhuxuanzi, et al.
Published: (2025)

ACE-LoRA: Adaptive Orthogonal Decoupling for Continual Image Editing
by: Liu, Yuehao, et al.
Published: (2026)

Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout
by: Zhang, Andi, et al.
Published: (2025)

iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
by: Song, Yang, et al.
Published: (2026)