Saved in:
| Main Authors: | Vaidya, Omatharv Bharat, Jerzak, Connor T., Ho, Nhat, Bajaj, Chandrajit |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.08423 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
by: Wang, Shaowen, et al.
Published: (2024)
by: Wang, Shaowen, et al.
Published: (2024)
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, et al.
Published: (2024)
by: Wang, Zhengbo, 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)
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)
by: Yang, Yaming, et al.
Published: (2024)
HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation
by: Chen, Lixian, et al.
Published: (2026)
by: Chen, Lixian, et al.
Published: (2026)
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
by: Bałazy, Klaudia, et al.
Published: (2024)
by: Bałazy, Klaudia, et al.
Published: (2024)
SpectralLoRA: Is Low-Frequency Structure Sufficient for LoRA Adaptation? A Spectral Analysis of Weight Updates
by: Singh, Rajveer
Published: (2026)
by: Singh, Rajveer
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)
FIM-LoRA: Task-Informative Rank Allocation for LoRA via Calibration-Time Gradient-Variance Estimation
by: Sathyavageeswaran, Ramakrishnan
Published: (2026)
by: Sathyavageeswaran, Ramakrishnan
Published: (2026)
SEQR: Secure and Efficient QR-based LoRA Routing
by: Fleshman, William, et al.
Published: (2025)
by: Fleshman, William, et al.
Published: (2025)
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)
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)
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)
Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, 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 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)
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
by: Bae, Sangmin, et al.
Published: (2024)
by: Bae, Sangmin, et al.
Published: (2024)
HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing Performance
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, 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)
A Note on LoRA
by: Fomenko, Vlad, et al.
Published: (2024)
by: Fomenko, Vlad, 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)
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)
Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation
by: Miyano, Ryota, et al.
Published: (2025)
by: Miyano, Ryota, et al.
Published: (2025)
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2024)
by: Liu, Dongqi, et al.
Published: (2024)
Shared LoRA Subspaces for almost Strict Continual Learning
by: Kaushik, Prakhar, et al.
Published: (2026)
by: Kaushik, Prakhar, et al.
Published: (2026)
Flexi-LoRA with Input-Adaptive Ranks: Efficient Finetuning for Speech and Reasoning Tasks
by: Li, Zongqian, et al.
Published: (2026)
by: Li, Zongqian, et al.
Published: (2026)
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)
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)
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)
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026)
by: Chen, Nan, et al.
Published: (2026)
MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning
by: Manzoni, Andrea
Published: (2026)
by: Manzoni, Andrea
Published: (2026)
Improving LoRA with Variational Learning
by: Cong, Bai, et al.
Published: (2025)
by: Cong, Bai, et al.
Published: (2025)
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)
QuAILoRA: Quantization-Aware Initialization for LoRA
by: Lawton, Neal, et al.
Published: (2024)
by: Lawton, Neal, et al.
Published: (2024)
Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
by: Zou, Junyi
Published: (2026)
by: Zou, Junyi
Published: (2026)
CSULoRA: Closest Safe Update Low-Rank Adaptation
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
by: Gupta, Prakhar, et al.
Published: (2026)
by: Gupta, Prakhar, et al.
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 Is Slower Than You Think
by: Ko, Seokmin
Published: (2025)
by: Ko, Seokmin
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)
Similar Items
-
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
by: Wang, Shaowen, et al.
Published: (2024) -
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, et al.
Published: (2024) -
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024) -
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024) -
HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation
by: Chen, Lixian, et al.
Published: (2026)