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Forget specialized prefix-parsing algorithms: a simple grammar transformation lets you use standard parsers for efficient prefix parsing and next-token prediction.
Forget simple probability averaging: a byte-level sequential Monte Carlo algorithm unlocks better language model ensembles by enabling sophisticated aggregation strategies and handling mismatched vocabularies.
