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The Functionalizer: Lossless Functional Decomposition for Subword Tokenization
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tokenizationlanguage modelingcode synthesisvocabulary efficiency
2609.15991
Builder Relevance
1h ago80%
Abstract
The Functionalizer presents a lossless pre-tokenizer framework that improves subword tokenization by factoring orthographic and structural variations into a compositional opcode/operand prefix stream.
Reality Card
Core Claim
The Functionalizer reduces vocabulary slot requirements by up to 16% while maintaining text coherence and improving code syntax validity.
Method / Result
Reduces actual vocabulary slot requirements by up to 16%.
Limitations
Preliminary evaluations were conducted on a specific model scale (25M parameter GPT-2), which may limit generalizability.
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