Cover Image

ID-LoRA: Efficient Low-Rank Adaptation Inspired by Matrix Interpolative Decomposition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Xindian, Kong, Rundong, Zhang, Peng, Huang, Ruoxiang, Jiang, Yongyu
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

OMEGA: Optimized Multimodal Position Encoding Index Derivation with Global Adaptive Scaling for Vision-Language Models
by: Huang, Ruoxiang, et al.
Published: (2025)

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

LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning
by: Zhang, Longteng, et al.
Published: (2023)

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

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
by: Meng, Xiangdi, et al.
Published: (2024)

LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
by: Guo, Han, et al.
Published: (2023)

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

HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation
by: Chen, Lixian, et al.
Published: (2026)

ChunkWise LoRA: Adaptive Sequence Partitioning for Memory-Efficient Low-Rank Adaptation and Accelerated LLM Inference
by: Thakkar, Ketan, et al.
Published: (2026)

LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
by: Singh, Ayush, et al.
Published: (2024)

BeamLoRA: Beam-Constraint Low-Rank Adaptation
by: Gu, Naibin, et al.
Published: (2025)

LoRA-Drop: Temporal LoRA Decoding for Efficient LLM Inference
by: Rajabzadeh, Hossein, et al.
Published: (2026)

Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models
by: Luong, Hoang-Chau, et al.
Published: (2026)

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)

$D^2LoRA$: Data-Driven LoRA Initialization for Low Resource Tasks
by: SeraJ, Javad, et al.
Published: (2025)

LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization
by: Chang, Yupeng, et al.
Published: (2025)

AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing
by: Li, Jiacheng, et al.
Published: (2025)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, 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)

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

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

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

DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Zhang, Haojie
Published: (2025)

LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
by: Zhou, Hongyun, et al.
Published: (2024)

Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates
by: Xu, Yixing, et al.
Published: (2025)

BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
by: Chang, Yupeng, et al.
Published: (2024)

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

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2025)

Vision as LoRA
by: Wang, Han, et al.
Published: (2025)

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, 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)

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
by: Lin, Tianwei, et al.
Published: (2024)

L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning
by: Singh, Raul, 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)

MASA: Rethinking the Representational Bottleneck in LoRA with Multi-A Shared Adaptation
by: Dong, Qin, et al.
Published: (2025)

LoRA$^2$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models
by: Zhang, Jia-Chen, et al.
Published: (2024)

MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
by: Zhang, Jingfan, et al.
Published: (2024)

Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2024)

Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)