XTR training does not improve retrieval effectiveness over ColBERT but enhances IVF engine efficiency by flattening token scores to produce more discriminative centroids.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
RACORN-1 adds adaptive search fallback to ACORN-1 to fix recall collapse at low selectivity in filtered vector search, achieving 9-26x speedups over HNSW with recovered recall on 1M-40M datasets.
A semantic search system was deployed at health-system scale across 166 million clinical notes, delivering sub-second latency, ~$4000 monthly cost, and 24-89% faster chart abstraction with maintained agreement.
citing papers explorer
-
RACORN-1: Adaptive Recall-Preserving Speedup for Low-Selectivity Filtered Vector Search
RACORN-1 adds adaptive search fallback to ACORN-1 to fix recall collapse at low selectivity in filtered vector search, achieving 9-26x speedups over HNSW with recovered recall on 1M-40M datasets.
-
Health System Scale Semantic Search Across Unstructured Clinical Notes
A semantic search system was deployed at health-system scale across 166 million clinical notes, delivering sub-second latency, ~$4000 monthly cost, and 24-89% faster chart abstraction with maintained agreement.