Papers by Sinoué Gad

1 papers
Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer (2026.eacl-srw)

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Challenge: Existing Large Language Models are predominantly English-centric, resulting in a performance gap for other major languages.
Approach: They propose a family of French-specialized Large Language Models that address the English-centric performance gap by targeting French data.
Outcome: The proposed models outperform open-source counterparts on multiple French benchmarks while retaining their original English capabilities.

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