Saved in:
| Main Authors: | Wang, Shuaidi, Zhuang, Zhan, Huang, Ruping, Zhang, Yu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.29716 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024)
by: Tian, Chunlin, et al.
Published: (2024)
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025)
by: Zhu, Zhanda, et al.
Published: (2025)
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
by: Che, Chang, et al.
Published: (2025)
by: Che, Chang, et al.
Published: (2025)
Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
by: Seregina, Irina, et al.
Published: (2025)
by: Seregina, Irina, et al.
Published: (2025)
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
by: Wang, Dannong, et al.
Published: (2025)
by: Wang, Dannong, et al.
Published: (2025)
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)
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)
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)
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
by: Ye, Rongguang, et al.
Published: (2025)
by: Ye, Rongguang, et al.
Published: (2025)
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)
Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
by: Meo, Cristian, et al.
Published: (2024)
by: Meo, Cristian, et al.
Published: (2024)
FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
by: Bian, Jieming, et al.
Published: (2026)
by: Bian, Jieming, et al.
Published: (2026)
LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
by: Vulić, Ivan, et al.
Published: (2026)
by: Vulić, Ivan, et al.
Published: (2026)
Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)
by: Park, Juneyoung
Published: (2026)
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)
Echo-LoRA: Parameter-Efficient Fine-Tuning via Cross-Layer Representation Injection
by: Peng, Yihang, et al.
Published: (2026)
by: Peng, Yihang, et al.
Published: (2026)
Conditional LoRA Parameter Generation
by: Jin, Xiaolong, et al.
Published: (2024)
by: Jin, Xiaolong, et al.
Published: (2024)
Activated LoRA: Fine-tuned LLMs for Intrinsics
by: Greenewald, Kristjan, et al.
Published: (2025)
by: Greenewald, Kristjan, et al.
Published: (2025)
MaLoRA: Gated Modality LoRA for Key-Space Alignment in Multimodal LLM Fine-Tuning
by: Zheng, Xinhan, et al.
Published: (2025)
by: Zheng, Xinhan, et al.
Published: (2025)
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
by: Li, Dengchun, et al.
Published: (2024)
by: Li, Dengchun, et al.
Published: (2024)
Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
by: Liang, Hongyu, et al.
Published: (2025)
by: Liang, Hongyu, 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)
CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization
by: Deng, Yanxia, et al.
Published: (2025)
by: Deng, Yanxia, et al.
Published: (2025)
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
by: Kunwar, Pradip, et al.
Published: (2025)
by: Kunwar, Pradip, 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)
HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
by: Trojan, Bartosz, et al.
Published: (2026)
by: Trojan, Bartosz, et al.
Published: (2026)
CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model
by: Lu, Jinming, et al.
Published: (2025)
by: Lu, Jinming, et al.
Published: (2025)
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)
FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning
by: Yan, Peishen, et al.
Published: (2026)
by: Yan, Peishen, et al.
Published: (2026)
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)
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
by: Li, Wenbing, et al.
Published: (2025)
by: Li, Wenbing, et al.
Published: (2025)
Semantic-guided LoRA Parameters Generation
by: Li, Miaoge, et al.
Published: (2025)
by: Li, Miaoge, et al.
Published: (2025)
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)
by: Sheng, Ying, et al.
Published: (2023)
LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
by: Arabpour, Reza, et al.
Published: (2025)
by: Arabpour, Reza, et al.
Published: (2025)
NAS-LoRA: Empowering Parameter-Efficient Fine-Tuning for Visual Foundation Models with Searchable Adaptation
by: Chen, Renqi, et al.
Published: (2025)
by: Chen, Renqi, et al.
Published: (2025)
LoRA as Oracle
by: Arazzi, Marco, et al.
Published: (2026)
by: Arazzi, Marco, et al.
Published: (2026)
LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
by: Song, Zheshu, et al.
Published: (2024)
by: Song, Zheshu, et al.
Published: (2024)
Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
by: Barazandeh, Babak, et al.
Published: (2025)
by: Barazandeh, Babak, et al.
Published: (2025)
ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)
Similar Items
-
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024) -
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025) -
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
by: Che, Chang, et al.
Published: (2025) -
Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
by: Seregina, Irina, et al.
Published: (2025) -
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
by: Wang, Dannong, et al.
Published: (2025)