Saved in:
| Main Authors: | Kuo, Chuan-Wei, Chen, Siyu, Yan, Chenqi, Liu, Yu Yang Fredrik |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.22074 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models
by: Zhang, Shenglin, et al.
Published: (2024)
by: Zhang, Shenglin, et al.
Published: (2024)
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)
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation
by: Gong, Chenqi, et al.
Published: (2025)
by: Gong, Chenqi, 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)
Memory-Efficient Fine-Tuning via Low-Rank Activation Compression
by: Shi, Jiang-Xin, et al.
Published: (2025)
by: Shi, Jiang-Xin, et al.
Published: (2025)
TileQ: Efficient Low-Rank Quantization of Mixture-of-Experts with 2D Tiling
by: Gu, Hongyaoxing, et al.
Published: (2026)
by: Gu, Hongyaoxing, et al.
Published: (2026)
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
by: Han, Xiao, et al.
Published: (2025)
by: Han, Xiao, et al.
Published: (2025)
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
by: Wang, Ziyao, et al.
Published: (2024)
by: Wang, Ziyao, et al.
Published: (2024)
Decentralized Low-Rank Fine-Tuning of Large Language Models
by: Ghiasvand, Sajjad, et al.
Published: (2025)
by: Ghiasvand, Sajjad, et al.
Published: (2025)
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
by: Liu, Zequan, et al.
Published: (2024)
by: Liu, Zequan, et al.
Published: (2024)
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)
AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts
by: Liu, Zefang, et al.
Published: (2024)
by: Liu, Zefang, et al.
Published: (2024)
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study
by: Nguyen, Zooey, et al.
Published: (2024)
by: Nguyen, Zooey, et al.
Published: (2024)
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
by: Raje, Arian, et al.
Published: (2025)
by: Raje, Arian, et al.
Published: (2025)
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)
Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation
by: Kao, Jyun-Ping, et al.
Published: (2025)
by: Kao, Jyun-Ping, et al.
Published: (2025)
Geometrical Penrose Tilings are characterized by their 1-atlas
by: Fernique, Thomas, et al.
Published: (2022)
by: Fernique, Thomas, et al.
Published: (2022)
Directional Expansiveness for Rd-Actions and for Penrose Tilings
by: Jang, Hyeeun, et al.
Published: (2025)
by: Jang, Hyeeun, et al.
Published: (2025)
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)
Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
by: Alt, Benjamin, et al.
Published: (2023)
by: Alt, Benjamin, et al.
Published: (2023)
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
by: Susnjak, Teo, et al.
Published: (2024)
by: Susnjak, Teo, et al.
Published: (2024)
Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)
by: Pang, Wei, et al.
Published: (2024)
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)
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
by: Dong, Wei, et al.
Published: (2024)
by: Dong, Wei, et al.
Published: (2024)
Elastic Mixture of Rank-Wise Experts for Knowledge Reuse in Federated Fine-Tuning
by: Wu, Yebo, et al.
Published: (2025)
by: Wu, Yebo, et al.
Published: (2025)
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)
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
by: Bafghi, Reza Akbarian, et al.
Published: (2025)
by: Bafghi, Reza Akbarian, et al.
Published: (2025)
Optimizing Fine-Tuning through Advanced Initialization Strategies for Low-Rank Adaptation
by: Xue, Yongfu
Published: (2025)
by: Xue, Yongfu
Published: (2025)
LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning
by: Tastan, Nurbek, et al.
Published: (2025)
by: Tastan, Nurbek, et al.
Published: (2025)
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
by: Zhang, Jingfan, et al.
Published: (2024)
by: Zhang, Jingfan, et al.
Published: (2024)
Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
by: Wang, Jun, et al.
Published: (2025)
by: Wang, Jun, et al.
Published: (2025)
The Penrose Tiling is a Quantum Error-Correcting Code
by: Li, Zhi, et al.
Published: (2023)
by: Li, Zhi, et al.
Published: (2023)
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
by: Wang, Yizheng, et al.
Published: (2025)
by: Wang, Yizheng, et al.
Published: (2025)
Transfer Learning in Physics‐Informed Neurals Networks: Full Fine‐Tuning, Lightweight Fine‐Tuning, and Low‐Rank Adaptation
by: Yizheng Wang, et al.
Published: (2025)
by: Yizheng Wang, et al.
Published: (2025)
ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
by: Zhang, Yilang, et al.
Published: (2025)
by: Zhang, Yilang, et al.
Published: (2025)
Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
by: Zhang, Longteng, et al.
Published: (2026)
by: Zhang, Longteng, et al.
Published: (2026)
Flexora: Flexible Low Rank Adaptation for Large Language Models
by: Wei, Chenxing, et al.
Published: (2024)
by: Wei, Chenxing, et al.
Published: (2024)
TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models
by: Cao, Yarui, et al.
Published: (2026)
by: Cao, Yarui, et al.
Published: (2026)
DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Zhang, Haojie
Published: (2025)
by: Zhang, Haojie
Published: (2025)
Similar Items
-
Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models
by: Zhang, Shenglin, et al.
Published: (2024) -
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024) -
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation
by: Gong, Chenqi, et al.
Published: (2025) -
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
by: Lin, Cheng, et al.
Published: (2024) -
Memory-Efficient Fine-Tuning via Low-Rank Activation Compression
by: Shi, Jiang-Xin, et al.
Published: (2025)