cs.IR · 2026-07-10 · No. 49
Information Retrieval, 2026-07-10.
1 new papers in cs.IR. Titles, authors,
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01 — The papers
1 entries-
01
BACH: A Bayesian Admixture of Contrastive Heads for Multi-Interest Two-Tower Retrieval
Quoc Phong Nguyen, Paul Albert, Long Vuong, Vuong Le, Julien Monteil
cs.IR · cs.LG
Two-tower retrievers compress each user into a single embedding, limiting their ability to serve diverse interests. Multi-interest models give each user several heads scored by a maximum inner product, but their hard-routing training under-utilizes heads (routing collapse) and gives no per-user estimate of how much each interest matters for serving. We present \textbf{BACH} (\emph{Bayesian Admixture of Contrastive Heads}), which casts...
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