:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guo, Chenlu, Wu, Yuan, Chang, Yi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2502.14482
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization
by: Chang, Yupeng, 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)

CHBench: A Chinese Dataset for Evaluating Health in Large Language Models
by: Guo, Chenlu, et al.
Published: (2024)

TLoRA: Task-aware Low Rank Adaptation of Large Language Models
by: Lin, Weicheng, et al.
Published: (2026)

OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models
by: Büyükakyüz, Kerim
Published: (2024)

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

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

ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
by: Liu, Zequan, et al.
Published: (2024)

A Survey on Data Augmentation in Large Model Era
by: Zhou, Yue, et al.
Published: (2024)

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

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

DoRA: Weight-Decomposed Low-Rank Adaptation
by: Liu, Shih-Yang, et al.
Published: (2024)

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

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

QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
by: Rajabzadeh, Hossein, et al.
Published: (2024)

PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
by: Benedek, Nadav, et al.
Published: (2024)

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model
by: Yu, Jiayang, et al.
Published: (2025)

Transfer-Prompting: Enhancing Cross-Task Adaptation in Large Language Models via Dual-Stage Prompts Optimization
by: Chang, Yupeng, et al.
Published: (2025)

DiffLoRA: Differential Low-Rank Adapters for Large Language Models
by: Misrahi, Alexandre, et al.
Published: (2025)

HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture
by: Wu, Taiqiang, et al.
Published: (2025)

TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
by: He, Xinyi, et al.
Published: (2025)

Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
by: Liang, Yan-Shuo, et al.
Published: (2025)

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

MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
by: Cheng, Bo, et al.
Published: (2025)

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

ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers
by: Hu, Junyan, et al.
Published: (2024)

BoRA: Bi-dimensional Weight-Decomposed Low-Rank Adaptation
by: Wang, Qiushi, et al.
Published: (2024)

CSULoRA: Closest Safe Update Low-Rank Adaptation
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)

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

ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
by: Song, Yurun, et al.
Published: (2024)

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

Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models
by: Jin, Feihu, et al.
Published: (2024)

Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
by: Lu, Yuheng, et al.
Published: (2024)

Flexora: Flexible Low Rank Adaptation for Large Language Models
by: Wei, Chenxing, et al.
Published: (2024)

OSoRA: Output-Dimension and Singular-Value Initialized Low-Rank Adaptation
by: Han, Jialong, 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)

TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models
by: Cao, Yarui, et al.
Published: (2026)

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

LoRTA: Low Rank Tensor Adaptation of Large Language Models
by: Hounie, Ignacio, et al.
Published: (2024)

BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Models
by: Eide, Simen, et al.
Published: (2024)