Image de couverture de livre

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Azimi, Rambod, Rishav, Rishav, Teichmann, Marek, Kahou, Samira Ebrahimi
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
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)

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

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

MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning
par: Rüdiger, Sten, et autres
Publié: (2026)

Enhancing Aviation Communication Transcription: Fine-Tuning Distil-Whisper with LoRA
par: Mirzaei, Shokoufeh, et autres
Publié: (2025)

Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
par: Barazandeh, Babak, et autres
Publié: (2025)

Budgeted LoRA: Distillation as Structured Compute Allocation for Efficient Inference
par: Sabry, Mohammed, et autres
Publié: (2026)

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

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

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
par: Tian, Chunlin, et autres
Publié: (2024)

LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
par: Zhu, Zhanda, et autres
Publié: (2025)

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
par: Deng, Guanzhi, et autres
Publié: (2026)

LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
par: Huang, Yining, et autres
Publié: (2025)

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

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

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

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

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

LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
par: Arabpour, Reza, et autres
Publié: (2025)

SEQR: Secure and Efficient QR-based LoRA Routing
par: Fleshman, William, et autres
Publié: (2025)

LoRA+: Efficient Low Rank Adaptation of Large Models
par: Hayou, Soufiane, et autres
Publié: (2024)

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

LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
par: Vulić, Ivan, et autres
Publié: (2026)

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

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
par: Fleshman, William, et autres
Publié: (2025)

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

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

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

FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
par: Bian, Jieming, et autres
Publié: (2025)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
par: Wang, Zhengbo, et autres
Publié: (2024)

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

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
par: Li, Jiaang, et autres
Publié: (2024)

LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
par: Singh, Ayush, et autres
Publié: (2024)

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

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
par: Zhao, Ziyu, et autres
Publié: (2024)

LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
par: Zhou, Hongyun, et autres
Publié: (2024)

Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
par: Lee, Yu-Ang, et autres
Publié: (2026)

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air
par: Yang, Shiyi, et autres
Publié: (2025)

Weight space Detection of Backdoors in LoRA Adapters
par: Merenciano, David Puertolas, et autres
Publié: (2026)

Multi-LoRA Composition for Image Generation
par: Zhong, Ming, et autres
Publié: (2024)