:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nief, Todd, Fu, Harvey Yiyun, Muchane, Mark, Holtzman, Ari
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	https://arxiv.org/abs/2606.00831
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

Dynamic Weight Grafting: Localizing Finetuned Factual Knowledge in Transformers
par: Nief, Todd, et autres
Publié: (2025)

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

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

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

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

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

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

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)

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)

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

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

LoRA Learns Less and Forgets Less
par: Biderman, Dan, et autres
Publié: (2024)

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

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

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

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

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

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

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

Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
par: Wu, Yize, et autres
Publié: (2026)

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

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

Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning
par: Zhao, Ziyu, et autres
Publié: (2024)

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

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

LoRA Dropout as a Sparsity Regularizer for Overfitting Control
par: Lin, Yang, et autres
Publié: (2024)

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

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

The Impact of Initialization on LoRA Finetuning Dynamics
par: Hayou, Soufiane, et autres
Publié: (2024)

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

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
par: Bossy, Thierry, et autres
Publié: (2025)

Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment
par: Peng, Hongyi, et autres
Publié: (2026)

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning
par: Rachapudi, Jagadeesh, et autres
Publié: (2026)

Effective LoRA Adapter Routing using Task Representations
par: Dhasade, Akash, et autres
Publié: (2026)

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

IterIS: Iterative Inference-Solving Alignment for LoRA Merging
par: Chen, Hongxu, et autres
Publié: (2024)

ZKLoRA: Efficient Zero-Knowledge Proofs for LoRA Verification
par: Roy, Bidhan, et autres
Publié: (2025)