A new method improves cross-lingual knowledge transfer in LLMs using lexical interventions when target-language data is scarce. It avoids parallel data, translation systems, and extra training stages, enabling better scientific reasoning and world-knowledge tasks in low-resource languages. This matters for developers building multilingual models with limited data.
Opening Kapyn…