Papers by Takuya Kato

1 papers
Large Vocabulary Size Improves Large Language Models (2025.findings-acl)

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Challenge: Existing studies have investigated the properties of internal layers in large language models, but no studies have defined the vocabulary size.
Approach: They propose a method to use a new vocabulary instead of the pre-defined one in a continual training scenario.
Outcome: The proposed method outperforms the model with the pre-defined vocabulary in a continual training scenario.

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