Saved in:
| Main Authors: | Zhou, Hongyun, Lu, Xiangyu, Xu, Wang, Zhu, Conghui, Zhao, Tiejun, Yang, Muyun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.07721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
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)
Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation
by: Miyano, Ryota, et al.
Published: (2025)
by: Miyano, Ryota, 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)
Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
A Note on LoRA
by: Fomenko, Vlad, et al.
Published: (2024)
by: Fomenko, Vlad, et al.
Published: (2024)
Conditional LoRA Parameter Generation
by: Jin, Xiaolong, et al.
Published: (2024)
by: Jin, Xiaolong, 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)
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
by: Prabhakar, Akshara, et al.
Published: (2024)
by: Prabhakar, Akshara, et al.
Published: (2024)
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)
by: Sheng, Ying, et al.
Published: (2023)
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, et al.
Published: (2025)
by: Li, Yanan, et al.
Published: (2025)
Improving LoRA with Variational Learning
by: Cong, Bai, et al.
Published: (2025)
by: Cong, Bai, et al.
Published: (2025)
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)
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)
SEQR: Secure and Efficient QR-based LoRA Routing
by: Fleshman, William, et al.
Published: (2025)
by: Fleshman, William, et al.
Published: (2025)
Run LoRA Run: Faster and Lighter LoRA Implementations
by: Cherniuk, Daria, et al.
Published: (2023)
by: Cherniuk, Daria, et al.
Published: (2023)
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
by: Chen, Guanduo, et al.
Published: (2025)
by: Chen, Guanduo, et al.
Published: (2025)
QuAILoRA: Quantization-Aware Initialization for LoRA
by: Lawton, Neal, et al.
Published: (2024)
by: Lawton, Neal, et al.
Published: (2024)
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
by: Wang, Sheng, et al.
Published: (2024)
by: Wang, Sheng, 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)
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 Is Slower Than You Think
by: Ko, Seokmin
Published: (2025)
by: Ko, Seokmin
Published: (2025)
Multi-LoRA Composition for Image Generation
by: Zhong, Ming, et al.
Published: (2024)
by: Zhong, Ming, et al.
Published: (2024)
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
by: Zhao, Ziyu, et al.
Published: (2024)
by: Zhao, Ziyu, et al.
Published: (2024)
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)
A Survey on LoRA of Large Language Models
by: Mao, Yuren, et al.
Published: (2024)
by: Mao, Yuren, et al.
Published: (2024)
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, 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)
Tina: Tiny Reasoning Models via LoRA
by: Wang, Shangshang, et al.
Published: (2025)
by: Wang, Shangshang, et al.
Published: (2025)
Weight space Detection of Backdoors in LoRA Adapters
by: Merenciano, David Puertolas, et al.
Published: (2026)
by: Merenciano, David Puertolas, et al.
Published: (2026)
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
by: Zhou, Zikai, et al.
Published: (2025)
by: Zhou, Zikai, et al.
Published: (2025)
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
by: Wang, Shaowen, et al.
Published: (2024)
by: Wang, Shaowen, 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)
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
by: Bae, Sangmin, et al.
Published: (2024)
by: Bae, Sangmin, et al.
Published: (2024)
Semantic-guided LoRA Parameters Generation
by: Li, Miaoge, et al.
Published: (2025)
by: Li, Miaoge, 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 Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalization
by: Smith, Ethan, et al.
Published: (2024)
by: Smith, Ethan, et al.
Published: (2024)
Recover-to-Forget: Gradient Reconstruction from LoRA for Efficient LLM Unlearning
by: Liu, Yezi, et al.
Published: (2025)
by: Liu, Yezi, et al.
Published: (2025)
Similar Items
-
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025) -
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
by: Yen, Jui-Nan, et al.
Published: (2024) -
AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing
by: Li, Jiacheng, et al.
Published: (2025) -
Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation
by: Miyano, Ryota, 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)