Apple Proposes Lexical Interventions for Multilingual Knowledge Transfer
Apple researchers propose lexical interventions to improve cross-lingual knowledge transfer in multilingual language models when target language data is scarce. The method avoids the need for large parallel data, translation systems, or auxiliary models, enabling better transfer of scientific reasoning, commonsense, and world knowledge from high-resource languages.
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