DoRA: Weight-Decomposed Low-Rank Adaptation
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Shih-Yang, Wang, Chien-Yi, Yin, Hongxu, Molchanov, Pavlo, Wang, Yu-Chiang Frank, Cheng, Kwang-Ting, Chen, Min-Hung |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
por: Liu, Shih-Yang, et al.
Publicado: (2024)
por: Liu, Shih-Yang, et al.
Publicado: (2024)
BoRA: Bi-dimensional Weight-Decomposed Low-Rank Adaptation
por: Wang, Qiushi, et al.
Publicado: (2024)
por: Wang, Qiushi, et al.
Publicado: (2024)
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
por: Liu, Shih-Yang, et al.
Publicado: (2025)
por: Liu, Shih-Yang, et al.
Publicado: (2025)
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
por: Qin, Peijia, et al.
Publicado: (2024)
por: Qin, Peijia, et al.
Publicado: (2024)
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
por: Mao, Yulong, et al.
Publicado: (2024)
por: Mao, Yulong, et al.
Publicado: (2024)
SBoRA: Low-Rank Adaptation with Regional Weight Updates
por: Po, Lai-Man, et al.
Publicado: (2024)
por: Po, Lai-Man, et al.
Publicado: (2024)
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
por: Liu, Shih-Yang, et al.
Publicado: (2026)
por: Liu, Shih-Yang, et al.
Publicado: (2026)
EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
por: Nasiri, Hamid, et al.
Publicado: (2025)
por: Nasiri, Hamid, et al.
Publicado: (2025)
Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRA
por: Baqar, Mohammad, et al.
Publicado: (2025)
por: Baqar, Mohammad, et al.
Publicado: (2025)
Advancing Weight and Channel Sparsification with Enhanced Saliency
por: Sun, Xinglong, et al.
Publicado: (2025)
por: Sun, Xinglong, et al.
Publicado: (2025)
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
por: Bair, Anna, et al.
Publicado: (2023)
por: Bair, Anna, et al.
Publicado: (2023)
DoRAN: Stabilizing Weight-Decomposed Low-Rank Adaptation via Noise Injection and Auxiliary Networks
por: Diep, Nghiem T., et al.
Publicado: (2025)
por: Diep, Nghiem T., et al.
Publicado: (2025)
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
por: Huang, Xijie, et al.
Publicado: (2024)
por: Huang, Xijie, et al.
Publicado: (2024)
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
por: Hu, Xiaolin, et al.
Publicado: (2024)
por: Hu, Xiaolin, et al.
Publicado: (2024)
Step Out and Seek Around: On Warm-Start Training with Incremental Data
por: Shen, Maying, et al.
Publicado: (2024)
por: Shen, Maying, et al.
Publicado: (2024)
BeamLoRA: Beam-Constraint Low-Rank Adaptation
por: Gu, Naibin, et al.
Publicado: (2025)
por: Gu, Naibin, et al.
Publicado: (2025)
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
por: Wang, Shaowen, et al.
Publicado: (2024)
por: Wang, Shaowen, et al.
Publicado: (2024)
Scaling DoRA: High-Rank Adaptation via Factored Norms and Fused Kernels
por: Zelenin, Alexandra, et al.
Publicado: (2026)
por: Zelenin, Alexandra, et al.
Publicado: (2026)
CeRA: Overcoming the Linear Ceiling of Low-Rank Adaptation via Capacity Expansion
por: Chen, Hung-Hsuan
Publicado: (2026)
por: Chen, Hung-Hsuan
Publicado: (2026)
SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model
por: Yu, Jiayang, et al.
Publicado: (2025)
por: Yu, Jiayang, et al.
Publicado: (2025)
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
por: Lin, Ci-Siang, et al.
Publicado: (2024)
por: Lin, Ci-Siang, et al.
Publicado: (2024)
Flextron: Many-in-One Flexible Large Language Model
por: Cai, Ruisi, et al.
Publicado: (2024)
por: Cai, Ruisi, et al.
Publicado: (2024)
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation
por: Lin, Ci-Siang, et al.
Publicado: (2024)
por: Lin, Ci-Siang, et al.
Publicado: (2024)
DiffLoRA: Generating Personalized Low-Rank Adaptation Weights with Diffusion
por: Wu, Yujia, et al.
Publicado: (2024)
por: Wu, Yujia, et al.
Publicado: (2024)
Null-LoRA: Low-Rank Adaptation on Null Space
por: Zhang, Yi, et al.
Publicado: (2025)
por: Zhang, Yi, et al.
Publicado: (2025)
LITA: Language Instructed Temporal-Localization Assistant
por: Huang, De-An, et al.
Publicado: (2024)
por: Huang, De-An, et al.
Publicado: (2024)
PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation
por: Wang, Leyao, et al.
Publicado: (2024)
por: Wang, Leyao, et al.
Publicado: (2024)
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
por: Guo, Chenlu, et al.
Publicado: (2025)
por: Guo, Chenlu, et al.
Publicado: (2025)
FouRA: Fourier Low Rank Adaptation
por: Borse, Shubhankar, et al.
Publicado: (2024)
por: Borse, Shubhankar, et al.
Publicado: (2024)
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
por: Benedek, Nadav, et al.
Publicado: (2024)
por: Benedek, Nadav, et al.
Publicado: (2024)
HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation
por: Lei, Qinqian, et al.
Publicado: (2025)
por: Lei, Qinqian, et al.
Publicado: (2025)
LoRA+: Efficient Low Rank Adaptation of Large Models
por: Hayou, Soufiane, et al.
Publicado: (2024)
por: Hayou, Soufiane, et al.
Publicado: (2024)
WaRA: Wavelet Low Rank Adaptation
por: Heidari, Moein, et al.
Publicado: (2025)
por: Heidari, Moein, et al.
Publicado: (2025)
TLoRA: Task-aware Low Rank Adaptation of Large Language Models
por: Lin, Weicheng, et al.
Publicado: (2026)
por: Lin, Weicheng, et al.
Publicado: (2026)
MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition
por: Zhao, Shu, et al.
Publicado: (2025)
por: Zhao, Shu, et al.
Publicado: (2025)
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
por: Fang, Gongfan, et al.
Publicado: (2024)
por: Fang, Gongfan, et al.
Publicado: (2024)
SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information
por: Zhou, Kaiye, et al.
Publicado: (2024)
por: Zhou, Kaiye, et al.
Publicado: (2024)
TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
por: Liang, Yao, et al.
Publicado: (2025)
por: Liang, Yao, et al.
Publicado: (2025)
MAP: Revisiting Weight Decomposition for Low-Rank Adaptation
por: Si, Chongjie, et al.
Publicado: (2025)
por: Si, Chongjie, et al.
Publicado: (2025)
UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation
por: Zhang, Cheng, et al.
Publicado: (2024)
por: Zhang, Cheng, et al.
Publicado: (2024)
Ejemplares similares
-
EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
por: Liu, Shih-Yang, et al.
Publicado: (2024) -
BoRA: Bi-dimensional Weight-Decomposed Low-Rank Adaptation
por: Wang, Qiushi, et al.
Publicado: (2024) -
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
por: Liu, Shih-Yang, et al.
Publicado: (2025) -
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
por: Qin, Peijia, et al.
Publicado: (2024) -
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
por: Mao, Yulong, et al.
Publicado: (2024)