2026
Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
ICML 2026poster
Vision-Language Models (VLMs) are typically deterministic in nature and lack intrinsic mechanisms to quantify epistemic uncertainty, which reflects the model’s lack of knowledge or ignorance of its own representations. We theoretically motivate negative log-density of an embedding as a proxy for the…