Cover Image

SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Kaiye, Wang, Shucheng, Xu, Jun
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)

LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
by: Zhang, Ruiyi, et al.
Published: (2024)

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation
by: Liu, Ziyun, et al.
Published: (2026)

LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
by: Bałazy, Klaudia, et al.
Published: (2024)

Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, et al.
Published: (2024)

GoRA: Gradient-driven Adaptive Low Rank Adaptation
by: He, Haonan, et al.
Published: (2025)

SBoRA: Low-Rank Adaptation with Regional Weight Updates
by: Po, Lai-Man, et al.
Published: (2024)

RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2024)

LoTR: Low Tensor Rank Weight Adaptation
by: Bershatsky, Daniel, et al.
Published: (2024)

LoRMA: Low-Rank Multiplicative Adaptation for LLMs
by: Bihany, Harsh, 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)

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning
by: Modoranu, Ionut-Vlad, et al.
Published: (2026)

CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024)

Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
by: Barazandeh, Babak, et al.
Published: (2025)

ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
by: Chang, Huandong, et al.
Published: (2025)

CeRA: Overcoming the Linear Ceiling of Low-Rank Adaptation via Capacity Expansion
by: Chen, Hung-Hsuan
Published: (2026)

InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
by: Liang, Yan-Shuo, et al.
Published: (2024)

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
by: Nasiri, Hamid, et al.
Published: (2025)

MoR: Mixture of Ranks for Low-Rank Adaptation Tuning
by: Tang, Chuanyu, et al.
Published: (2024)

LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
by: Zhang, Juzheng, et al.
Published: (2025)

The Expressive Power of Low-Rank Adaptation
by: Zeng, Yuchen, et al.
Published: (2023)

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
by: Liu, Zeyu, 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)

LoRA-GA: Low-Rank Adaptation with Gradient Approximation
by: Wang, Shaowen, et al.
Published: (2024)

Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
by: Wu, Yize, et al.
Published: (2026)

Variational Low-Rank Adaptation Using IVON
by: Cong, Bai, et al.
Published: (2024)

Batched Low-Rank Adaptation of Foundation Models
by: Wen, Yeming, et al.
Published: (2023)

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
by: Zhao, Ziyu, et al.
Published: (2024)

Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training
by: Zhang, Chengqian, et al.
Published: (2026)

zFLoRA: Zero-Latency Fused Low-Rank Adapters
by: Gowda, Dhananjaya, et al.
Published: (2025)

FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
by: Zou, Heming, et al.
Published: (2025)

Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
by: Whitehouse, Chenxi, et al.
Published: (2023)

LoLCATs: On Low-Rank Linearizing of Large Language Models
by: Zhang, Michael, et al.
Published: (2024)

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, et al.
Published: (2025)

Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation
by: Wang, Dianyun, 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)

DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
by: Mu, Lin, et al.
Published: (2025)

Not How Many, But Which: Parameter Placement in Low-Rank Adaptation
by: Sehanobish, Arijit, et al.
Published: (2026)