Makoto P. Kato
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Info Retrieval×1AI×1NLP×1
Frequent co-authors
Research Timeline
2026
Latent Terms: Dense Retrievers Contain Trivially Extractable BM25-ready Zipfian Vocabularies
The paper introduces Latent Terms, a method that shows dense retrieval models implicitly learn sparse, Zipfian vocabularies that can be used for classical BM25-style sparse scoring without requiring specialized training or supervision.
Highlighted terms show continued research focus across papers