ann

This paper explores the use of HyperBand tuning to obtain irregular learning curves in Artificial Neural Network (ANN) models for price prediction.

The authors found that regularizing ColBERT models fixes the efficient ANN methods MUVERA and SMVE, which had broken on modern ColBERT models, simplifying multi-vector retrieval infrastructure in an unexpected way.

FlashLib updates to support ANN search with IVF-Flat, achieving up to 6.5× faster performance than cuVS on real-world vector workloads. LEANN now integrates FlashLib as a backend, offering substantial speedups in build and search operations.