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Jointly optimizing tokenization with language modeling can lead to fundamentally different and more effective vocabularies that outperform traditional methods across diverse languages.
Idiom comprehension in low-resource languages suffers significantly, with literal meanings proving far more challenging than figurative interpretations, even in context-rich conversations.
