NDCG

Researchers have developed BUMP, a self-supervised framework that trains large language models to generate personalized user profiles without requiring labeled data from downstream tasks. The system u…

Researchers have identified a critical flaw in using standard survival prediction models for organ allocation, showing that even highly accurate predictors optimized for metrics like the C-index can p…