Saved in:
| Main Authors: | Han, Xiaolong, Neri, Ferrante, Jiang, Zijian, Wu, Fang, Ye, Yanfang, Yin, Lu, Wang, Zehong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.15990 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Survey of Weight Space Learning: Understanding, Representation, and Generation
by: Han, Xiaolong, et al.
Published: (2026)
by: Han, Xiaolong, et al.
Published: (2026)
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
by: Wang, Sheng, et al.
Published: (2024)
by: Wang, Sheng, et al.
Published: (2024)
Conditional LoRA Parameter Generation
by: Jin, Xiaolong, et al.
Published: (2024)
by: Jin, Xiaolong, et al.
Published: (2024)
ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
by: Zuo, Jingwei, et al.
Published: (2026)
by: Zuo, Jingwei, et al.
Published: (2026)
LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalization
by: Smith, Ethan, et al.
Published: (2024)
by: Smith, Ethan, 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)
Run LoRA Run: Faster and Lighter LoRA Implementations
by: Cherniuk, Daria, et al.
Published: (2023)
by: Cherniuk, Daria, et al.
Published: (2023)
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)
by: Sheng, Ying, et al.
Published: (2023)
A Note on LoRA
by: Fomenko, Vlad, et al.
Published: (2024)
by: Fomenko, Vlad, et al.
Published: (2024)
Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025)
by: Liu, Jinda, et al.
Published: (2025)
Cross-LoRA: A Data-Free LoRA Transfer Framework across Heterogeneous LLMs
by: Xia, Feifan, et al.
Published: (2025)
by: Xia, Feifan, et al.
Published: (2025)
LoBAM: LoRA-Based Backdoor Attack on Model Merging
by: Yin, Ming, et al.
Published: (2024)
by: Yin, Ming, et al.
Published: (2024)
FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance
by: Chung, Hyunsuk, et al.
Published: (2026)
by: Chung, Hyunsuk, et al.
Published: (2026)
Weight space Detection of Backdoors in LoRA Adapters
by: Merenciano, David Puertolas, et al.
Published: (2026)
by: Merenciano, David Puertolas, et al.
Published: (2026)
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
by: Chen, Guanduo, et al.
Published: (2025)
by: Chen, Guanduo, et al.
Published: (2025)
Exploring Efficient Learning of Small BERT Networks with LoRA and DoRA
by: Frees, Daniel, et al.
Published: (2025)
by: Frees, Daniel, 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)
Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
by: Bian, Jieming, et al.
Published: (2024)
by: Bian, Jieming, et al.
Published: (2024)
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
by: Yen, Jui-Nan, et al.
Published: (2024)
by: Yen, Jui-Nan, et al.
Published: (2024)
Vision as LoRA
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Semantic-guided LoRA Parameters Generation
by: Li, Miaoge, et al.
Published: (2025)
by: Li, Miaoge, et al.
Published: (2025)
Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
by: Shen, Yixin
Published: (2025)
by: Shen, Yixin
Published: (2025)
AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing
by: Li, Jiacheng, et al.
Published: (2025)
by: Li, Jiacheng, et al.
Published: (2025)
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
by: Li, Wenbing, et al.
Published: (2025)
by: Li, Wenbing, et al.
Published: (2025)
Multi-LoRA Composition for Image Generation
by: Zhong, Ming, et al.
Published: (2024)
by: Zhong, Ming, et al.
Published: (2024)
LoRA-BAM: Input Filtering for Fine-tuned LLMs via Boxed Abstraction Monitors over LoRA Layers
by: Wu, Changshun, et al.
Published: (2025)
by: Wu, Changshun, et al.
Published: (2025)
FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
by: Zhang, Haoran, et al.
Published: (2026)
by: Zhang, Haoran, et al.
Published: (2026)
Latent Space Factorization in LoRA
by: Kumar, Shashi, et al.
Published: (2025)
by: Kumar, Shashi, et al.
Published: (2025)
LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification
by: Haider, Md Akib, et al.
Published: (2026)
by: Haider, Md Akib, et al.
Published: (2026)
SCALE-LoRA: Auditing Post-Retrieval LoRA Composition with Residual Merging and View Reliability
by: Zhou, Shuaipeng, et al.
Published: (2026)
by: Zhou, Shuaipeng, et al.
Published: (2026)
Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization
by: Han, Ziyi, et al.
Published: (2025)
by: Han, Ziyi, et al.
Published: (2025)
pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
by: Yi, Liping, et al.
Published: (2023)
by: Yi, Liping, 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 Soups: Merging LoRAs for Practical Skill Composition Tasks
by: Prabhakar, Akshara, et al.
Published: (2024)
by: Prabhakar, Akshara, et al.
Published: (2024)
SpectralLoRA: Is Low-Frequency Structure Sufficient for LoRA Adaptation? A Spectral Analysis of Weight Updates
by: Singh, Rajveer
Published: (2026)
by: Singh, Rajveer
Published: (2026)
SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
by: Luo, Minrui, et al.
Published: (2025)
by: Luo, Minrui, et al.
Published: (2025)
mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
by: Ye, Zhengmao, et al.
Published: (2023)
by: Ye, Zhengmao, et al.
Published: (2023)
Similar Items
-
A Survey of Weight Space Learning: Understanding, Representation, and Generation
by: Han, Xiaolong, et al.
Published: (2026) -
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
by: Wang, Sheng, et al.
Published: (2024) -
Conditional LoRA Parameter Generation
by: Jin, Xiaolong, et al.
Published: (2024) -
ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
by: Zuo, Jingwei, et al.
Published: (2026) -
LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalization
by: Smith, Ethan, et al.
Published: (2024)