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CERTAIN board member Simon Ostermann co-authored a paper on Advancing Cross-Lingual NLP with Smarter Transfer Methods.

Cross-lingual knowledge transfer, particularly from high- to low-resource languages, remains one of NLP’s most persistent challenges. At NAACL 2025, CERTAIN researcher Simon Ostermann co-authored a paper exploring how parameter-efficient fine-tuning methods can improve multilingual AI systems without massive computational overhead, directly supporting CERTAIN’s mission to make AI inclusive, efficient, and trustworthy across all languages. The […]
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