04:00
2026-08-31
arxiv.org
artificial-intelligence
Select, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selection
A new arXiv study (2608.27470v1) finds that pairing a training-free BM25 retriever with an LLM-based selector achieves state-of-the-art entity disambiguation on the ZELDA benchmark, raising inKB microβ¦