ReLaG: A Scalable Framework Generalizing Random Splits to Data with Latent Relations.

arXiv:2609.38538v1 Announce Type: cross Abstract: Random splitting can yield non-independent train--test subsets when a dataset contains related samples, as is common in certain applications such as biochemical studies. This leads to overly optimistic generali