SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models

ArXi:2507.18902v2 Announce Type: replace There are than 7,000 languages around the world, and current Large Language Models (LLMs) only hundreds of languages. Dictionary-based prompting methods can enhance translation on them, but most methods use all the available dictionaries, which could be expensive. Instead, it will be flexible to have a trade-off between token consumption and translation performance. This paper proposes a novel task called \textbf{A}utomatic \textbf{D}ictionary \textbf{S}election (\textbf.