Papers by Lucas Maystre

1 papers
From Characters to Tokens: Dynamic Grouping with Hierarchical BPE (2025.findings-emnlp)

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Challenge: Subword tokenization methods suffer from inefficiencies in representing rare words and require large embedding matrices.
Approach: They propose a dynamic character grouping method that leverages existing BPE tokenization without adding additional models.
Outcome: The proposed method matches or exceeds existing entropy- and whitespace-based patching strategies while maintaining a compact vocabulary.

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