作者位次 #5/5SIGIR 2026Oral· Information Retrieval (Full)
A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models
Yash Kankanampati · Yuxuan Zong · Nadi Tomeh · Benjamin Piwowarski · Joseph Le Roux
摘要
Late-interaction models such as ColBERT offer competitive performance across various retrieval tasks but require storing a dense embedding for each document token, leading to a substantial index storage overhead. Past works address this by attempting to prune low-importance token embeddings based...