Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models

Name: Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
Uploaded: 2026-10-04T07:35:55.418881+00:00
Duration: 327 s
Description: Bayesian-LoRA reframes deterministic LoRA updates as probabilistic low-rank representations using Sparse Gaussian Processes (SGP). It introduces Flow-Augmented Variational Inference to enrich the model's uncertainty estimation. This method significantly improves calibration across LLMs while maintaining competitive accuracy, offering a practical way to quantify prediction confidence.

Bayesian-LoRA reframes deterministic LoRA updates as probabilistic low-rank representations using Sparse Gaussian Processes (SGP). It introduces Flow-Augmented Variational Inference to enrich the model's uncertainty estimation. This method significantly improves calibration across LLMs while maintaining competitive accuracy, offering a practical way to quantify prediction confidence.

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