MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Cheng, Bo, Wang, Xu, Liu, Jinda, Chang, Yi, Wu, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
by: Zhang, Linhai, et al.
Published: (2024)
by: Zhang, Linhai, 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)
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)
Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models
by: Liao, Xiaoxuan, et al.
Published: (2025)
by: Liao, Xiaoxuan, 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)
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)
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
by: Chang, Yupeng, et al.
Published: (2024)
by: Chang, Yupeng, et al.
Published: (2024)
LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models
by: Wu, Yichao, et al.
Published: (2024)
by: Wu, Yichao, et al.
Published: (2024)
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
by: Chen, Guanduo, et al.
Published: (2025)
by: Chen, Guanduo, 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)
LoRA$^2$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models
by: Zhang, Jia-Chen, et al.
Published: (2024)
by: Zhang, Jia-Chen, et al.
Published: (2024)
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-Gen: Specializing Large Language Model via Online LoRA Generation
by: Xiao, Yicheng, et al.
Published: (2025)
by: Xiao, Yicheng, et al.
Published: (2025)
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks
by: Hu, Jiacheng, et al.
Published: (2024)
by: Hu, Jiacheng, 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)
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)
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)
$D^2LoRA$: Data-Driven LoRA Initialization for Low Resource Tasks
by: SeraJ, Javad, et al.
Published: (2025)
by: SeraJ, Javad, et al.
Published: (2025)
RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI
by: Gupta, Pankaj, et al.
Published: (2026)
by: Gupta, Pankaj, et al.
Published: (2026)
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, 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)
LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples
by: Liu, Yezi, et al.
Published: (2025)
by: Liu, Yezi, et al.
Published: (2025)
L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning
by: Singh, Raul, et al.
Published: (2025)
by: Singh, Raul, et al.
Published: (2025)
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)
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, et al.
Published: (2025)
by: Li, Yanan, et al.
Published: (2025)
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)
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning
by: Tahir, Anique, et al.
Published: (2024)
by: Tahir, Anique, et al.
Published: (2024)
OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting during Parameter-Efficient Fine-Tuning
by: Xiong, Yifeng, et al.
Published: (2025)
by: Xiong, Yifeng, et al.
Published: (2025)
LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning
by: Zhang, Longteng, et al.
Published: (2023)
by: Zhang, Longteng, et al.
Published: (2023)
A Survey on LoRA of Large Language Models
by: Mao, Yuren, et al.
Published: (2024)
by: Mao, Yuren, et al.
Published: (2024)
Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning
by: Ji, Yuelyu, et al.
Published: (2024)
by: Ji, Yuelyu, et al.
Published: (2024)
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)
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
by: Xu, Jingwei, et al.
Published: (2024)
by: Xu, Jingwei, et al.
Published: (2024)
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning
by: Xia, Wenhan, et al.
Published: (2024)
by: Xia, Wenhan, 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)
Fusian: Multi-LoRA Fusion for Fine-Grained Continuous MBTI Personality Control in Large Language Models
by: Chen, Zehao, et al.
Published: (2026)
by: Chen, Zehao, 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)
Similar Items
-
Align, Don't Divide: Revisiting the LoRA Architecture in Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025) -
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025) -
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
by: Zhang, Linhai, et al.
Published: (2024) -
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
by: Wang, Hanqing, et al.
Published: (2024) -
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)