Bosselut Lab

Research focus

ERC Starting Grant · 2025

Resolving the Paradoxes of Cross-lingual Transfer in Multilingual Language Models

The technical advances, and resulting societal opportunities, of Large Language Models (LLMs) have principally benefited communities whose primary languages are well-represented in the written data used for training LLMs (e.g., English). While these few high-resource languages are used by many around the world, they do not cover large segments of the global population of 8.2 billion, who collectively speak over 7000 languages. For intelligent natural language systems to be adopted and useful, they must enable interaction in the preferred languages of their users and be knowledgeable of the environments of those users. This expansion of LLM functionality requires re-thinking the…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.