Cover Image

The Scaling Law for LoRA Base on Mutual Information Upper Bound

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jing, Gao, Hui, Zhang, Peng, Sun, Shuzhen, Yang, Chang, Hou, Yuexian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025)

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
by: Li, Wenbing, et al.
Published: (2025)

SCALE-LoRA: Auditing Post-Retrieval LoRA Composition with Residual Merging and View Reliability
by: Zhou, Shuaipeng, et al.
Published: (2026)

SEE: Sememe Entanglement Encoding for Transformer-bases Models Compression
by: Zhang, Jing, et al.
Published: (2024)

LoBAM: LoRA-Based Backdoor Attack on Model Merging
by: Yin, Ming, et al.
Published: (2024)

Conditional LoRA Parameter Generation
by: Jin, Xiaolong, et al.
Published: (2024)

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

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

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

Semantic-guided LoRA Parameters Generation
by: Li, Miaoge, et al.
Published: (2025)

HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization
by: Han, Ziyi, et al.
Published: (2025)

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
by: Bian, Jieming, et al.
Published: (2026)

SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
by: Luo, Minrui, et al.
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)

LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
by: Zhang, Qingyue, et al.
Published: (2025)

mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
by: Ye, Zhengmao, et al.
Published: (2023)

FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance
by: Chung, Hyunsuk, et al.
Published: (2026)

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

Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment
by: Peng, Hongyi, et al.
Published: (2026)

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

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
by: Xu, Ziwen, et al.
Published: (2026)

Riemannian Optimization for LoRA on the Stiefel Manifold
by: Park, Juneyoung, et al.
Published: (2025)

Text-to-LoRA: Instant Transformer Adaption
by: Charakorn, Rujikorn, et al.
Published: (2025)

Subliminal Learning is a LoRA Artifact
by: Nief, Todd, et al.
Published: (2026)

Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)

LoRA Dropout as a Sparsity Regularizer for Overfitting Control
by: Lin, Yang, et al.
Published: (2024)

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

Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models
by: Liu, Yuhang, et al.
Published: (2025)

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

FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning
by: Yan, Peishen, et al.
Published: (2026)

LoRALib: A Standardized Benchmark for Evaluating LoRA-MoE Methods
by: Wang, Shaoheng, et al.
Published: (2025)

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

MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning
by: Ma, Yufei, et al.
Published: (2024)

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

Activated LoRA: Fine-tuned LLMs for Intrinsics
by: Greenewald, Kristjan, et al.
Published: (2025)

Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
by: Zuo, Jingwei, et al.
Published: (2026)

Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management
by: Zhang, Hang, et al.
Published: (2025)

ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
by: Huang, Hai, et al.
Published: (2024)

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