Saved in:
| Main Authors: | Yuan, Li, Cai, Yi, Shen, Xudong, Li, Qing, Huang, Qingbao, Deng, Zikun, Wang, Tao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.06303 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer
by: Chen, Bolin, et al.
Published: (2025)
by: Chen, Bolin, et al.
Published: (2025)
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning
by: Zhao, Ziyu, et al.
Published: (2025)
by: Zhao, Ziyu, et al.
Published: (2025)
Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
by: Yang, Minghao, et al.
Published: (2025)
by: Yang, Minghao, et al.
Published: (2025)
CORAL: Scalable Multi-Task Robot Learning via LoRA Experts
by: Luo, Yuankai, et al.
Published: (2026)
by: Luo, Yuankai, et al.
Published: (2026)
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)
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)
LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
by: Zhuang, Yuan, et al.
Published: (2025)
by: Zhuang, Yuan, et al.
Published: (2025)
Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing
by: Yuan, Li, et al.
Published: (2025)
by: Yuan, Li, et al.
Published: (2025)
Align, Don't Divide: Revisiting the LoRA Architecture in Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025)
by: Liu, Jinda, et al.
Published: (2025)
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)
by: Yang, Yaming, et al.
Published: (2024)
Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction
by: Shao, Jiahao, et al.
Published: (2026)
by: Shao, Jiahao, et al.
Published: (2026)
SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning
by: Shi, Boyan, et al.
Published: (2026)
by: Shi, Boyan, et al.
Published: (2026)
Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
by: Li, Wenbing, et al.
Published: (2025)
by: Li, Wenbing, et al.
Published: (2025)
TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
by: Jeon, Jeimin, et al.
Published: (2026)
by: Jeon, Jeimin, et al.
Published: (2026)
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)
Multi-LoRA Composition for Image Generation
by: Zhong, Ming, et al.
Published: (2024)
by: Zhong, Ming, et al.
Published: (2024)
Tensorized Clustered LoRA Merging for Multi-Task Interference
by: Su, Zhan, et al.
Published: (2025)
by: Su, Zhan, et al.
Published: (2025)
AT-MoE: Adaptive Task-planning Mixture of Experts via LoRA Approach
by: Li, Xurui, et al.
Published: (2024)
by: Li, Xurui, 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)
ForgeDreamer: Industrial Text-to-3D Generation with Multi-Expert LoRA and Cross-View Hypergraph
by: Cai, Junhao, et al.
Published: (2026)
by: Cai, Junhao, et al.
Published: (2026)
Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates
by: Xu, Yixing, et al.
Published: (2025)
by: Xu, Yixing, et al.
Published: (2025)
MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
by: Cheng, Bo, et al.
Published: (2025)
by: Cheng, Bo, et al.
Published: (2025)
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning
by: Zhao, Ziyu, et al.
Published: (2024)
by: Zhao, Ziyu, et al.
Published: (2024)
Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
by: Jia, Ziqi, et al.
Published: (2025)
by: Jia, Ziqi, et al.
Published: (2025)
Uni-LoRA: One Vector is All You Need
by: Li, Kaiyang, et al.
Published: (2025)
by: Li, Kaiyang, et al.
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)
Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
by: Shen, Yixin
Published: (2025)
by: Shen, Yixin
Published: (2025)
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)
by: Sheng, Ying, et al.
Published: (2023)
InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models
by: Chen, Hongyu, et al.
Published: (2026)
by: Chen, Hongyu, et al.
Published: (2026)
tLoRA: Efficient Multi-LoRA Training with Elastic Shared Super-Models
by: Li, Kevin, et al.
Published: (2026)
by: Li, Kevin, 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)
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)
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)
$D^2LoRA$: Data-Driven LoRA Initialization for Low Resource Tasks
by: SeraJ, Javad, et al.
Published: (2025)
by: SeraJ, Javad, 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)
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning
by: Ma, Yufei, et al.
Published: (2024)
by: Ma, Yufei, et al.
Published: (2024)
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)
Similar Items
-
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025) -
ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer
by: Chen, Bolin, et al.
Published: (2025) -
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning
by: Zhao, Ziyu, et al.
Published: (2025) -
Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
by: Yang, Minghao, et al.
Published: (2025) -
CORAL: Scalable Multi-Task Robot Learning via LoRA Experts
by: Luo, Yuankai, et al.
Published: (2026)