Multilinguality of Large Language Models From a Structural Perspective
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Multilinguality of Large Language Models From a Structural Perspective
arXiv:2606.01800v1 Announce Type: new Abstract: Large language models (LLMs) have excelled in processing multiple languages through pre- and post-training on multilingual data, even though English dominates the training data. Prior work focusing on token representations has revealed how those LLMs process non-English text. Although these analyses have provided insightful findings, they fail to capture a structural view, which is an inherent property of language.