NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Shuaidi, Zhuang, Zhan, Huang, Ruping, Zhang, Yu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
por: Tian, Chunlin, et al.
Publicado: (2024)
por: Tian, Chunlin, et al.
Publicado: (2024)
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
por: Zhu, Zhanda, et al.
Publicado: (2025)
por: Zhu, Zhanda, et al.
Publicado: (2025)
Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
por: Seregina, Irina, et al.
Publicado: (2025)
por: Seregina, Irina, et al.
Publicado: (2025)
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
por: Che, Chang, et al.
Publicado: (2025)
por: Che, Chang, et al.
Publicado: (2025)
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
por: Deng, Guanzhi, et al.
Publicado: (2026)
por: Deng, Guanzhi, et al.
Publicado: (2026)
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
por: Wang, Dannong, et al.
Publicado: (2025)
por: Wang, Dannong, et al.
Publicado: (2025)
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
por: Azimi, Rambod, et al.
Publicado: (2024)
por: Azimi, Rambod, et al.
Publicado: (2024)
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
por: Ye, Rongguang, et al.
Publicado: (2025)
por: Ye, Rongguang, et al.
Publicado: (2025)
ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
por: Zuo, Jingwei, et al.
Publicado: (2026)
por: Zuo, Jingwei, et al.
Publicado: (2026)
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
por: Meo, Cristian, et al.
Publicado: (2024)
por: Meo, Cristian, et al.
Publicado: (2024)
SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
por: Luo, Minrui, et al.
Publicado: (2025)
por: Luo, Minrui, et al.
Publicado: (2025)
Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models
por: Liu, Yuhang, et al.
Publicado: (2025)
por: Liu, Yuhang, et al.
Publicado: (2025)
FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
por: Bian, Jieming, et al.
Publicado: (2026)
por: Bian, Jieming, et al.
Publicado: (2026)
Rethinking the Rank Threshold for LoRA Fine-Tuning
por: Park, Juneyoung
Publicado: (2026)
por: Park, Juneyoung
Publicado: (2026)
LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
por: Vulić, Ivan, et al.
Publicado: (2026)
por: Vulić, Ivan, et al.
Publicado: (2026)
Echo-LoRA: Parameter-Efficient Fine-Tuning via Cross-Layer Representation Injection
por: Peng, Yihang, et al.
Publicado: (2026)
por: Peng, Yihang, et al.
Publicado: (2026)
mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
por: Ye, Zhengmao, et al.
Publicado: (2023)
por: Ye, Zhengmao, et al.
Publicado: (2023)
Activated LoRA: Fine-tuned LLMs for Intrinsics
por: Greenewald, Kristjan, et al.
Publicado: (2025)
por: Greenewald, Kristjan, et al.
Publicado: (2025)
Conditional LoRA Parameter Generation
por: Jin, Xiaolong, et al.
Publicado: (2024)
por: Jin, Xiaolong, et al.
Publicado: (2024)
MaLoRA: Gated Modality LoRA for Key-Space Alignment in Multimodal LLM Fine-Tuning
por: Zheng, Xinhan, et al.
Publicado: (2025)
por: Zheng, Xinhan, et al.
Publicado: (2025)
Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
por: Liang, Hongyu, et al.
Publicado: (2025)
por: Liang, Hongyu, et al.
Publicado: (2025)
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
por: Li, Dengchun, et al.
Publicado: (2024)
por: Li, Dengchun, et al.
Publicado: (2024)
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
por: Kunwar, Pradip, et al.
Publicado: (2025)
por: Kunwar, Pradip, et al.
Publicado: (2025)
CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization
por: Deng, Yanxia, et al.
Publicado: (2025)
por: Deng, Yanxia, et al.
Publicado: (2025)
Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
por: Shen, Yixin
Publicado: (2025)
por: Shen, Yixin
Publicado: (2025)
LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
por: Ran, Delong, et al.
Publicado: (2025)
por: Ran, Delong, et al.
Publicado: (2025)
HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
por: Trojan, Bartosz, et al.
Publicado: (2026)
por: Trojan, Bartosz, et al.
Publicado: (2026)
CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model
por: Lu, Jinming, et al.
Publicado: (2025)
por: Lu, Jinming, et al.
Publicado: (2025)
FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning
por: Yan, Peishen, et al.
Publicado: (2026)
por: Yan, Peishen, et al.
Publicado: (2026)
SCALE-LoRA: Auditing Post-Retrieval LoRA Composition with Residual Merging and View Reliability
por: Zhou, Shuaipeng, et al.
Publicado: (2026)
por: Zhou, Shuaipeng, et al.
Publicado: (2026)
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
por: Liu, Jinda, et al.
Publicado: (2025)
por: Liu, Jinda, et al.
Publicado: (2025)
LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
por: Arabpour, Reza, et al.
Publicado: (2025)
por: Arabpour, Reza, et al.
Publicado: (2025)
Semantic-guided LoRA Parameters Generation
por: Li, Miaoge, et al.
Publicado: (2025)
por: Li, Miaoge, et al.
Publicado: (2025)
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
por: Li, Wenbing, et al.
Publicado: (2025)
por: Li, Wenbing, et al.
Publicado: (2025)
NAS-LoRA: Empowering Parameter-Efficient Fine-Tuning for Visual Foundation Models with Searchable Adaptation
por: Chen, Renqi, et al.
Publicado: (2025)
por: Chen, Renqi, et al.
Publicado: (2025)
LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
por: Song, Zheshu, et al.
Publicado: (2024)
por: Song, Zheshu, et al.
Publicado: (2024)
LoRA as Oracle
por: Arazzi, Marco, et al.
Publicado: (2026)
por: Arazzi, Marco, et al.
Publicado: (2026)
ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
por: Shinwari, Haseeb Ullah Khan, et al.
Publicado: (2025)
por: Shinwari, Haseeb Ullah Khan, et al.
Publicado: (2025)
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
por: Sheng, Ying, et al.
Publicado: (2023)
por: Sheng, Ying, et al.
Publicado: (2023)
Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
por: Barazandeh, Babak, et al.
Publicado: (2025)
por: Barazandeh, Babak, et al.
Publicado: (2025)
Ejemplares similares
-
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
por: Tian, Chunlin, et al.
Publicado: (2024) -
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
por: Zhu, Zhanda, et al.
Publicado: (2025) -
Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
por: Seregina, Irina, et al.
Publicado: (2025) -
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
por: Che, Chang, et al.
Publicado: (2025) -
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
por: Deng, Guanzhi, et al.
Publicado: (2026)