Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters
arXiv:2604.03388v1 Announce Type: new Abstract: When deploying large language models (LLMs) to safety-critical applications, uncertainty quantification (UQ) is of utmost importance to self-assess the reliability …
Haotian Xiang, Bingcong Li, Qin Lu
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