Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yixing, Li, Chao, Yin, Xuanwu, Tiwari, Spandan, Li, Dong, Sirasao, Ashish, Barsoum, Emad |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation
by: Das, Devleena, et al.
Published: (2025)
by: Das, Devleena, et al.
Published: (2025)
Vision as LoRA
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
LoRA-Drop: Temporal LoRA Decoding for Efficient LLM Inference
by: Rajabzadeh, Hossein, et al.
Published: (2026)
by: Rajabzadeh, Hossein, et al.
Published: (2026)
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
by: Zhou, Hongyun, et al.
Published: (2024)
by: Zhou, Hongyun, et al.
Published: (2024)
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
by: Wang, Hanqing, et al.
Published: (2024)
by: Wang, Hanqing, et al.
Published: (2024)
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
by: Huang, Yining, et al.
Published: (2025)
by: Huang, Yining, et al.
Published: (2025)
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
by: Tian, Chunlin, et al.
Published: (2024)
by: Tian, Chunlin, et al.
Published: (2024)
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-Gen: Specializing Large Language Model via Online LoRA Generation
by: Xiao, Yicheng, et al.
Published: (2025)
by: Xiao, Yicheng, 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)
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)
$D^2LoRA$: Data-Driven LoRA Initialization for Low Resource Tasks
by: SeraJ, Javad, et al.
Published: (2025)
by: SeraJ, Javad, et al.
Published: (2025)
CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices
by: Zhao, Weilin, et al.
Published: (2023)
by: Zhao, Weilin, et al.
Published: (2023)
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)
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)
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
by: Meng, Xiangdi, et al.
Published: (2024)
by: Meng, Xiangdi, et al.
Published: (2024)
Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, 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)
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)
A Note on LoRA
by: Fomenko, Vlad, et al.
Published: (2024)
by: Fomenko, Vlad, et al.
Published: (2024)
In-Context Meta LoRA Generation
by: Shao, Yihua, et al.
Published: (2025)
by: Shao, Yihua, et al.
Published: (2025)
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)
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
by: Fan, Chenghao, et al.
Published: (2025)
by: Fan, Chenghao, et al.
Published: (2025)
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
by: Zhang, Yuxuan, et al.
Published: (2024)
by: Zhang, Yuxuan, et al.
Published: (2024)
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
by: Liu, Jianmin, et al.
Published: (2025)
by: Liu, Jianmin, et al.
Published: (2025)
AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality
by: Qing, Peijun, et al.
Published: (2024)
by: Qing, Peijun, et al.
Published: (2024)
Improving LoRA with Variational Learning
by: Cong, Bai, et al.
Published: (2025)
by: Cong, Bai, et al.
Published: (2025)
Personalized LoRA for Human-Centered Text Understanding
by: Zhang, You, et al.
Published: (2024)
by: Zhang, You, et al.
Published: (2024)
Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing
by: Cheng, Ming, et al.
Published: (2025)
by: Cheng, Ming, 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)
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
by: Li, Jiaang, et al.
Published: (2024)
by: Li, Jiaang, et al.
Published: (2024)
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)
Crowded in B-Space: Calibrating Shared Directions for LoRA Merging
by: Tang, Yixuan, et al.
Published: (2026)
by: Tang, Yixuan, et al.
Published: (2026)
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
by: Chen, Guanhua, et al.
Published: (2025)
by: Chen, Guanhua, et al.
Published: (2025)
QuAILoRA: Quantization-Aware Initialization for LoRA
by: Lawton, Neal, et al.
Published: (2024)
by: Lawton, Neal, et al.
Published: (2024)
FIM-LoRA: Task-Informative Rank Allocation for LoRA via Calibration-Time Gradient-Variance Estimation
by: Sathyavageeswaran, Ramakrishnan
Published: (2026)
by: Sathyavageeswaran, Ramakrishnan
Published: (2026)
LoRA Is Slower Than You Think
by: Ko, Seokmin
Published: (2025)
by: Ko, Seokmin
Published: (2025)
The Impact of Initialization on LoRA Finetuning Dynamics
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
LoRA Learns Less and Forgets Less
by: Biderman, Dan, et al.
Published: (2024)
by: Biderman, Dan, et al.
Published: (2024)
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
by: Wang, Shaowen, et al.
Published: (2024)
by: Wang, Shaowen, et al.
Published: (2024)
Similar Items
-
Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation
by: Das, Devleena, et al.
Published: (2025) -
Vision as LoRA
by: Wang, Han, et al.
Published: (2025) -
LoRA-Drop: Temporal LoRA Decoding for Efficient LLM Inference
by: Rajabzadeh, Hossein, et al.
Published: (2026) -
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
by: Zhou, Hongyun, et al.
Published: (2024) -
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
by: Wang, Hanqing, et al.
Published: (2024)