Cover Image

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhengbo, Liang, Jian, He, Ran, Wang, Zilei, Tan, Tieniu
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

Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation
by: Wang, Zhengbo, et al.
Published: (2026)

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
by: Wang, Zhengbo, et al.
Published: (2024)

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
by: Wang, Zhengbo, et al.
Published: (2024)

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)

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
by: Yen, Jui-Nan, et al.
Published: (2024)

Weight space Detection of Backdoors in LoRA Adapters
by: Merenciano, David Puertolas, et al.
Published: (2026)

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

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

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

LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025)

Task-Aware LoRA Adapter Composition via Similarity Retrieval in Vector Databases
by: Adsul, Riya, et al.
Published: (2026)

A Note on LoRA
by: Fomenko, Vlad, et al.
Published: (2024)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)

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

Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2024)

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

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)

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

Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
by: Zou, Junyi
Published: (2026)

Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation
by: Das, Devleena, et al.
Published: (2025)

Improving LoRA with Variational Learning
by: Cong, Bai, et al.
Published: (2025)

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
by: Li, Jiaang, et al.
Published: (2024)

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

Tina: Tiny Reasoning Models via LoRA
by: Wang, Shangshang, et al.
Published: (2025)

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

SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information
by: Zhou, Kaiye, et al.
Published: (2024)

The Impact of Initialization on LoRA Finetuning Dynamics
by: Hayou, Soufiane, et al.
Published: (2024)

LoRA Learns Less and Forgets Less
by: Biderman, Dan, et al.
Published: (2024)

LoRA Is Slower Than You Think
by: Ko, Seokmin
Published: (2025)

DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
by: Zhang, Yuxuan, et al.
Published: (2024)

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

A Survey on LoRA of Large Language Models
by: Mao, Yuren, et al.
Published: (2024)

How Much is Too Much? Exploring LoRA Rank Trade-offs for Retaining Knowledge and Domain Robustness
by: Rathore, Darshita, et al.
Published: (2025)

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

SEQR: Secure and Efficient QR-based LoRA Routing
by: Fleshman, William, et al.
Published: (2025)

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
by: Bossy, Thierry, et al.
Published: (2025)

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
by: Zhao, Ziyu, et al.
Published: (2024)

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
by: Shen, Yixin
Published: (2025)

Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
by: Balabanov, Oleksandr, et al.
Published: (2024)