Papers with probabilistic tokenization

1 papers
Improving Consistency in LLM Inference using Probabilistic Tokenization (2025.findings-naacl)

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Challenge: Prior work has shown that probabilistic tokenizations can generate multiple tokenization of the same input string.
Approach: They propose a method to leverage the multiple tokenization capabilities of modern LLM tokenizers.
Outcome: The proposed method improves the self-consistency of large language models by generating multiple tokenizations.

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