一作SIGIR 2026Poster· Information Retrieval (Short)
Load-sensitive Selective Pruning in Dense Retrieval
Maria Diana Calugaru · Federico Siciliano · Francesca Pezzuti · Nicola Tonellotto · Fabrizio Silvestri
摘要
We introduce a load-aware selective embedding-pruning method to be used in dense retrieval systems. Our method adapts the embedding dimensionality at inference time based on per-query deadlines and the current queue occupancy. Under light load, full-dimensional embeddings maximise effectiveness;...