:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Lee, Yoon Pyo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2507.09931
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
par: Lee, Seungeon, et autres
Publié: (2025)

Riemannian Optimization for LoRA on the Stiefel Manifold
par: Park, Juneyoung, et autres
Publié: (2025)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters
par: Sheng, Ying, et autres
Publié: (2023)

A Note on LoRA
par: Fomenko, Vlad, et autres
Publié: (2024)

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

R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
par: Liu, Jinda, et autres
Publié: (2025)

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
par: Li, Wenbing, et autres
Publié: (2025)

Beware of the Batch Size: Hyperparameter Bias in Evaluating LoRA
par: Lee, Sangyoon, et autres
Publié: (2026)

A Survey on LoRA of Large Language Models
par: Mao, Yuren, et autres
Publié: (2024)

SCALE-LoRA: Auditing Post-Retrieval LoRA Composition with Residual Merging and View Reliability
par: Zhou, Shuaipeng, et autres
Publié: (2026)

DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
par: Zhang, Yuxuan, et autres
Publié: (2024)

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
par: Yen, Jui-Nan, et autres
Publié: (2024)

Conditional LoRA Parameter Generation
par: Jin, Xiaolong, et autres
Publié: (2024)

Label-Free Cross-Task LoRA Merging with Null-Space Compression
par: Lee, Wonyoung, et autres
Publié: (2026)

SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
par: Luo, Minrui, et autres
Publié: (2025)

FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance
par: Chung, Hyunsuk, et autres
Publié: (2026)

Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management
par: Zhang, Hang, et autres
Publié: (2025)

Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
par: Jeong, Wooseong, et autres
Publié: (2026)

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
par: Lee, Seanie, et autres
Publié: (2025)

Semantic-guided LoRA Parameters Generation
par: Li, Miaoge, et autres
Publié: (2025)

Text-to-LoRA: Instant Transformer Adaption
par: Charakorn, Rujikorn, et autres
Publié: (2025)

Subliminal Learning is a LoRA Artifact
par: Nief, Todd, et autres
Publié: (2026)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
par: Azimi, Rambod, et autres
Publié: (2024)

Agentic Physical AI toward a Domain-Specific Foundation Model for Energy Systems: A Case Study on Nuclear Reactor Control
par: Lee, Yoon Pyo, et autres
Publié: (2025)

Vertical LoRA: Dense Expectation-Maximization Interpretation of Transformers
par: Fu, Zhuolin
Publié: (2024)

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
par: Zuo, Jingwei, et autres
Publié: (2026)

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
par: Li, Yanan, et autres
Publié: (2025)

Improving LoRA with Variational Learning
par: Cong, Bai, et autres
Publié: (2025)

HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization
par: Han, Ziyi, et autres
Publié: (2025)

LoBAM: LoRA-Based Backdoor Attack on Model Merging
par: Yin, Ming, et autres
Publié: (2024)

Tina: Tiny Reasoning Models via LoRA
par: Wang, Shangshang, et autres
Publié: (2025)

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
par: Ao, Shuang, et autres
Publié: (2025)

Activated LoRA: Fine-tuned LLMs for Intrinsics
par: Greenewald, Kristjan, et autres
Publié: (2025)

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

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
par: Bian, Jieming, et autres
Publié: (2026)

ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
par: Huang, Hai, et autres
Publié: (2024)

Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
par: Seregina, Irina, et autres
Publié: (2025)

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models
par: Liu, Jin, et autres
Publié: (2026)

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
par: Choi, Kanghyun, et autres
Publié: (2025)

LoRA Is Slower Than You Think
par: Ko, Seokmin
Publié: (2025)