Matching token boundaries to the atomic units of a task, such as one letter per token, can improve LLM accuracy on symbolic reasoning by tens of percentage points and may matter more than model size.
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Tokenization Constraints in LLMs: A Study of Symbolic and Arithmetic Reasoning Limits
Matching token boundaries to the atomic units of a task, such as one letter per token, can improve LLM accuracy on symbolic reasoning by tens of percentage points and may matter more than model size.