AI RESEARCH

EuroBERT: Scaling Multilingual Encoders for European Languages

arXiv CS.AI

ArXi:2503.05500v3 Announce Type: replace-cross General-purpose multilingual vector representations, used in retrieval, regression and classification, are traditionally obtained from bidirectional encoder models. Despite their wide applicability, encoders have been recently overshadowed by advances in generative decoder-only models. However, many innovations driving this progress are not inherently tied to decoders. In this paper, we revisit the development of multilingual encoders through the lens of these advances, and