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Span-level supervision fixes the token-representation mismatch in cross-lingual sentence encoders without sacrificing—and in fact improving—sentence retrieval performance.
OmniSONAR halves cross-lingual search error on FLORES and reduces error by 15x on BIBLE, proving that truly universal sentence embeddings across thousands of languages and modalities are now within reach.