Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Samplawski, Colin, Cobb, Adam D., Acharya, Manoj, Kaur, Ramneet, Jha, Susmit |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privacy Preserving In-Context-Learning Framework for Large Language Models
by: Bhusal, Bishnu, et al.
Published: (2025)
by: Bhusal, Bishnu, et al.
Published: (2025)
AGENT: An Aerial Vehicle Generation and Design Tool Using Large Language Models
by: Samplawski, Colin, et al.
Published: (2025)
by: Samplawski, Colin, et al.
Published: (2025)
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
by: Padhi, Trilok, et al.
Published: (2025)
by: Padhi, Trilok, et al.
Published: (2025)
Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design
by: Ghiglino, Aurelien, et al.
Published: (2026)
by: Ghiglino, Aurelien, et al.
Published: (2026)
Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMs
by: Agarwal, Krishiv, et al.
Published: (2026)
by: Agarwal, Krishiv, et al.
Published: (2026)
From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents
by: Padhi, Trilok, et al.
Published: (2026)
by: Padhi, Trilok, et al.
Published: (2026)
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
by: Gupta, Ayush, et al.
Published: (2025)
by: Gupta, Ayush, et al.
Published: (2025)
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
by: Kaur, Ramneet, et al.
Published: (2024)
by: Kaur, Ramneet, et al.
Published: (2024)
TeleLoRA: Teleporting Model-Specific Alignment Across LLMs
by: Lin, Xiao, et al.
Published: (2025)
by: Lin, Xiao, et al.
Published: (2025)
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models
by: Onal, Emre, et al.
Published: (2024)
by: Onal, Emre, et al.
Published: (2024)
Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
by: Cobb, Adam D., et al.
Published: (2025)
by: Cobb, Adam D., et al.
Published: (2025)
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
by: Lu, Yuheng, et al.
Published: (2024)
by: Lu, Yuheng, et al.
Published: (2024)
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024)
by: Xiao, Xiaojun, et al.
Published: (2024)
Taylor-Model Physics-Informed Neural Networks (PINNs) for Ordinary Differential Equations
by: Nagesh, Chandra Kanth, et al.
Published: (2025)
by: Nagesh, Chandra Kanth, et al.
Published: (2025)
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
by: Wang, Yibin, et al.
Published: (2024)
by: Wang, Yibin, et al.
Published: (2024)
Spatio-Temporal Pruning for Compressed Spiking Large Language Models
by: Jiang, Yi, et al.
Published: (2025)
by: Jiang, Yi, et al.
Published: (2025)
Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation
by: Wang, Dianyun, et al.
Published: (2025)
by: Wang, Dianyun, et al.
Published: (2025)
Closed-Loop Neural Activation Control in Vision-Language-Action Models
by: Babu, Abhijith, et al.
Published: (2026)
by: Babu, Abhijith, et al.
Published: (2026)
Flexora: Flexible Low Rank Adaptation for Large Language Models
by: Wei, Chenxing, et al.
Published: (2024)
by: Wei, Chenxing, et al.
Published: (2024)
OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models
by: Büyükakyüz, Kerim
Published: (2024)
by: Büyükakyüz, Kerim
Published: (2024)
Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models
by: Jin, Feihu, et al.
Published: (2024)
by: Jin, Feihu, et al.
Published: (2024)
LoRTA: Low Rank Tensor Adaptation of Large Language Models
by: Hounie, Ignacio, et al.
Published: (2024)
by: Hounie, Ignacio, et al.
Published: (2024)
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
by: Liang, Yan-Shuo, et al.
Published: (2025)
by: Liang, Yan-Shuo, et al.
Published: (2025)
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
by: Guo, Chenlu, et al.
Published: (2025)
by: Guo, Chenlu, et al.
Published: (2025)
Probabilistic Subspace Manifolds for Contextual Inference in Large Language Models
by: Nightingale, Christopher, et al.
Published: (2025)
by: Nightingale, Christopher, et al.
Published: (2025)
Variational Low-Rank Adaptation Using IVON
by: Cong, Bai, et al.
Published: (2024)
by: Cong, Bai, et al.
Published: (2024)
Bayesian Low-Rank Factorization for Robust Model Adaptation
by: Ugan, Enes Yavuz, et al.
Published: (2025)
by: Ugan, Enes Yavuz, et al.
Published: (2025)
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization
by: Ji, Yixin, et al.
Published: (2024)
by: Ji, Yixin, et al.
Published: (2024)
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
by: Liu, Zequan, et al.
Published: (2024)
by: Liu, Zequan, et al.
Published: (2024)
Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models
by: Liu, Kainan, et al.
Published: (2026)
by: Liu, Kainan, 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)
TLoRA: Task-aware Low Rank Adaptation of Large Language Models
by: Lin, Weicheng, et al.
Published: (2026)
by: Lin, Weicheng, et al.
Published: (2026)
A Bayesian Interpretation of Adaptive Low-Rank Adaptation
by: Chen, Haolin, et al.
Published: (2024)
by: Chen, Haolin, et al.
Published: (2024)
Optimal Abstractions for Verifying Properties of Kolmogorov-Arnold Networks (KANs)
by: Schwartz, Noah, et al.
Published: (2026)
by: Schwartz, Noah, et al.
Published: (2026)
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
by: Shi, Haizhou, et al.
Published: (2024)
by: Shi, Haizhou, et al.
Published: (2024)
LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model
by: Hu, Yuxuan, et al.
Published: (2025)
by: Hu, Yuxuan, et al.
Published: (2025)
SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit
by: Li, Yibo, et al.
Published: (2026)
by: Li, Yibo, et al.
Published: (2026)
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
by: Zhang, Jingfan, et al.
Published: (2024)
by: Zhang, Jingfan, et al.
Published: (2024)
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Models
by: Eide, Simen, et al.
Published: (2024)
by: Eide, Simen, et al.
Published: (2024)
Similar Items
-
Privacy Preserving In-Context-Learning Framework for Large Language Models
by: Bhusal, Bishnu, et al.
Published: (2025) -
AGENT: An Aerial Vehicle Generation and Design Tool Using Large Language Models
by: Samplawski, Colin, et al.
Published: (2025) -
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
by: Padhi, Trilok, et al.
Published: (2025) -
Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design
by: Ghiglino, Aurelien, et al.
Published: (2026) -
Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMs
by: Agarwal, Krishiv, et al.
Published: (2026)