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Raphaël Sourty

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Preprint Jul 2026

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search

An open end-to-end recipe for training retrieval models and study how English supervision transfers to multilingual retrieval through translate-train are presented, suggesting that token-level matching turns translate-train from a target-language expansion strategy into a multilingual generalization recipe.

Raphaël Sourty, Antoine Chaffin, Paulo Roberto Milanez Oliveira Junior et al. · 1 citation