Provable Accuracy Collapse in Embedding-Based Representations under Dimensionality Mismatch
arXiv:2605.03346v1 Announce Type: cross
Abstract: Embedding-based representations in Euclidean space $\mathbb{R}^d$ are a cornerstone of modern machine learning, where a major goal is to use the \emph{smallest dimension} that faithfully captures data …