Saved in:
| Main Authors: | Zhang, Yilang, Yang, Xiaodong, Cai, Yiwei, Giannakis, Georgios B. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.23818 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
by: Zhang, Yilang, et al.
Published: (2025)
by: Zhang, Yilang, et al.
Published: (2025)
Low-Rank Adaptation Redux for Large Models
by: Li, Bingcong, et al.
Published: (2026)
by: Li, Bingcong, et al.
Published: (2026)
DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Zhang, Haojie
Published: (2025)
by: Zhang, Haojie
Published: (2025)
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
by: Zhang, Yilang, et al.
Published: (2023)
by: Zhang, Yilang, et al.
Published: (2023)
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Jung, Yeonjoon, et al.
Published: (2025)
by: Jung, Yeonjoon, et al.
Published: (2025)
ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling
by: Zhang, Yilang, et al.
Published: (2026)
by: Zhang, Yilang, et al.
Published: (2026)
Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training
by: Zhang, Chengqian, et al.
Published: (2026)
by: Zhang, Chengqian, et al.
Published: (2026)
QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models
by: Liang, Jessica, et al.
Published: (2025)
by: Liang, Jessica, et al.
Published: (2025)
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
by: Chang, Huandong, et al.
Published: (2025)
by: Chang, Huandong, et al.
Published: (2025)
Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning
by: Zhang, Yilang, et al.
Published: (2025)
by: Zhang, Yilang, et al.
Published: (2025)
VASSO: Variance Suppression for Sharpness-Aware Minimization
by: Li, Bingcong, et al.
Published: (2025)
by: Li, Bingcong, et al.
Published: (2025)
Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm
by: Zhang, Yilang, et al.
Published: (2025)
by: Zhang, Yilang, et al.
Published: (2025)
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
by: Lin, Cheng, et al.
Published: (2024)
by: Lin, Cheng, et al.
Published: (2024)
Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)
by: Park, Juneyoung
Published: (2026)
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
by: Zhang, Ruiyi, et al.
Published: (2024)
by: Zhang, Ruiyi, 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)
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)
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation
by: Li, Mingjie, et al.
Published: (2025)
by: Li, Mingjie, et al.
Published: (2025)
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
by: Liu, Jun, et al.
Published: (2025)
by: Liu, Jun, et al.
Published: (2025)
AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation
by: Liu, Ziyun, et al.
Published: (2026)
by: Liu, Ziyun, et al.
Published: (2026)
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models
by: Coscia, Dario, et al.
Published: (2026)
by: Coscia, Dario, et al.
Published: (2026)
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
by: Rajabzadeh, Hossein, et al.
Published: (2024)
by: Rajabzadeh, Hossein, et al.
Published: (2024)
AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
by: Chen, Ziye, et al.
Published: (2026)
by: Chen, Ziye, et al.
Published: (2026)
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
by: Jiang, Ting, et al.
Published: (2024)
by: Jiang, Ting, 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)
GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning
by: Ed-dib, Abdessalam, et al.
Published: (2024)
by: Ed-dib, Abdessalam, et al.
Published: (2024)
FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation
by: Liu, Muqing, et al.
Published: (2026)
by: Liu, Muqing, et al.
Published: (2026)
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)
by: Yang, Yaming, et al.
Published: (2024)
LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning
by: Tastan, Nurbek, et al.
Published: (2025)
by: Tastan, Nurbek, et al.
Published: (2025)
ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)
Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions
by: Zhang, Wenhao, et al.
Published: (2026)
by: Zhang, Wenhao, et al.
Published: (2026)
Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation
by: Zhang, Yilang, et al.
Published: (2026)
by: Zhang, Yilang, et al.
Published: (2026)
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
by: Liu, Zeyu, et al.
Published: (2024)
by: Liu, Zeyu, et al.
Published: (2024)
Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
by: Wu, Yize, et al.
Published: (2026)
by: Wu, Yize, et al.
Published: (2026)
MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning
by: Modoranu, Ionut-Vlad, et al.
Published: (2026)
by: Modoranu, Ionut-Vlad, et al.
Published: (2026)
SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information
by: Zhou, Kaiye, et al.
Published: (2024)
by: Zhou, Kaiye, et al.
Published: (2024)
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
by: Zhang, Mingyang, et al.
Published: (2023)
by: Zhang, Mingyang, et al.
Published: (2023)
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
by: Wang, Xiaoyu, et al.
Published: (2025)
by: Wang, Xiaoyu, et al.
Published: (2025)
Similar Items
-
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
by: Zhang, Yilang, et al.
Published: (2025) -
Low-Rank Adaptation Redux for Large Models
by: Li, Bingcong, et al.
Published: (2026) -
DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Zhang, Haojie
Published: (2025) -
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
by: Zhang, Yilang, et al.
Published: (2023) -
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Jung, Yeonjoon, et al.
Published: (2025)