3 papers
cs.IR2026
LEMUR: Learned Multi-Vector Retrieval
Elias Jääsaari, Ville Hyvönen, Teemu Roos
Multi-vector representations generated by late interaction models, such as ColBERT, enable superior retrieval quality compared to single-vector representations in information retri…
cs.LG2026
Elicitation-Augmented Bayesian Optimization
Alvar Haltia, Ville Hyvönen, Samuel Kaski
Human-in-the-loop Bayesian optimization (HITL BO) methods utilize human expertise to improve the sample-efficiency of BO. Most HITL BO methods assume that a domain expert can quant…
cs.LG2025
VIBE: Vector Index Benchmark for Embeddings
Elias Jääsaari, Elias Jääsaari, Ville Hyvönen +5
Approximate nearest neighbor (ANN) search is a performance-critical component of many machine learning pipelines, and rigorous benchmarking is essential for assessing the performan…