Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Moule, Guan, Shuhao, Patane, Andrea, Gregg, David, Botterweck, Goetz |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Weight Sharing for Bayesian Neural Networks
by: Lin, Moule, et al.
Published: (2025)
by: Lin, Moule, et al.
Published: (2025)
Flow-Induced Diagonal Gaussian Processes
by: Lin, Moule, et al.
Published: (2025)
by: Lin, Moule, et al.
Published: (2025)
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models
by: Wang, Zhuxuanzi, et al.
Published: (2025)
by: Wang, Zhuxuanzi, et al.
Published: (2025)
Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
by: Wu, Yize, et al.
Published: (2026)
by: Wu, Yize, et al.
Published: (2026)
BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models
by: Coscia, Dario, et al.
Published: (2026)
by: Coscia, Dario, et al.
Published: (2026)
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
by: Mu, Lin, et al.
Published: (2025)
by: Mu, Lin, et al.
Published: (2025)
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
by: Xiao, Yicheng, et al.
Published: (2025)
by: Xiao, Yicheng, et al.
Published: (2025)
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)
by: Yang, Yaming, et al.
Published: (2024)
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation
by: Hwang, Injoon, et al.
Published: (2024)
by: Hwang, Injoon, et al.
Published: (2024)
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
by: Bałazy, Klaudia, et al.
Published: (2024)
by: Bałazy, Klaudia, et al.
Published: (2024)
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)
by: Deng, Guanzhi, et al.
Published: (2026)
TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models
by: Mu, Lin, et al.
Published: (2026)
by: Mu, Lin, et al.
Published: (2026)
Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation
by: Das, Devleena, et al.
Published: (2025)
by: Das, Devleena, et al.
Published: (2025)
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
by: Meo, Cristian, et al.
Published: (2024)
by: Meo, Cristian, et al.
Published: (2024)
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, et al.
Published: (2025)
by: Li, Yanan, et al.
Published: (2025)
Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training
by: Zhang, Chengqian, et al.
Published: (2026)
by: Zhang, Chengqian, et al.
Published: (2026)
Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs via Spectral Low-Rank Adaptation
by: Alisetti, Sai Vamsi
Published: (2026)
by: Alisetti, Sai Vamsi
Published: (2026)
LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
by: Zhang, Qingyue, et al.
Published: (2025)
by: Zhang, Qingyue, et al.
Published: (2025)
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, et al.
Published: (2024)
by: Wang, Zhengbo, et al.
Published: (2024)
Post-Optimization Adaptive Rank Allocation for LoRA
by: Kumaravelu, Vishnuprasadh, et al.
Published: (2026)
by: Kumaravelu, Vishnuprasadh, et al.
Published: (2026)
PALoRA: Projection-Adaptive LoRA for Preserving Reasoning in Large Language Models
by: Bilgin, Mustafa Hayri, et al.
Published: (2026)
by: Bilgin, Mustafa Hayri, et al.
Published: (2026)
ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
by: Ruan, Weilin, et al.
Published: (2024)
by: Ruan, Weilin, et al.
Published: (2024)
A Survey on LoRA of Large Language Models
by: Mao, Yuren, et al.
Published: (2024)
by: Mao, Yuren, et al.
Published: (2024)
TLoRA: Task-aware Low Rank Adaptation of Large Language Models
by: Lin, Weicheng, et al.
Published: (2026)
by: Lin, Weicheng, et al.
Published: (2026)
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
by: Xu, Ziqing, et al.
Published: (2025)
by: Xu, Ziqing, et al.
Published: (2025)
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2024)
by: Liu, Dongqi, et al.
Published: (2024)
SingLoRA: Low Rank Adaptation Using a Single Matrix
by: Bensaïd, David, et al.
Published: (2025)
by: Bensaïd, David, et al.
Published: (2025)
Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)
by: Park, Juneyoung
Published: (2026)
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
by: Elesedy, Hayder, et al.
Published: (2024)
by: Elesedy, Hayder, et al.
Published: (2024)
iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
by: Song, Yang, et al.
Published: (2026)
by: Song, Yang, et al.
Published: (2026)
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
by: Zhang, Yuxuan, et al.
Published: (2024)
by: Zhang, Yuxuan, et al.
Published: (2024)
LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
by: Ran, Delong, et al.
Published: (2025)
by: Ran, Delong, et al.
Published: (2025)
RecycleLoRA: Rank-Revealing QR-Based Dual-LoRA Subspace Adaptation for Domain Generalized Semantic Segmentation
by: Cho, Chanseul, et al.
Published: (2026)
by: Cho, Chanseul, et al.
Published: (2026)
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
by: Li, Dengchun, et al.
Published: (2024)
by: Li, Dengchun, et al.
Published: (2024)
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
by: Xu, Jingwei, et al.
Published: (2024)
by: Xu, Jingwei, et al.
Published: (2024)
Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management
by: Zhang, Hang, et al.
Published: (2025)
by: Zhang, Hang, et al.
Published: (2025)
LoRA as Oracle
by: Arazzi, Marco, et al.
Published: (2026)
by: Arazzi, Marco, et al.
Published: (2026)
TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models
by: Islam, Tanvir
Published: (2025)
by: Islam, Tanvir
Published: (2025)
Similar Items
-
Stochastic Weight Sharing for Bayesian Neural Networks
by: Lin, Moule, et al.
Published: (2025) -
Flow-Induced Diagonal Gaussian Processes
by: Lin, Moule, et al.
Published: (2025) -
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024) -
CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models
by: Wang, Zhuxuanzi, et al.
Published: (2025) -
Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
by: Wu, Yize, et al.
Published: (2026)