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Varshini Reddy, Craig W Schmidt, Yuval Pinter, Chris Tanner · 2026

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Tokenization with Split Trees

cs.CL · 2026-05-21 · unverdicted · novelty 7.0

ToaST uses vocabulary-independent split trees and integer programming to produce tokenizers with over 11% fewer tokens than BPE, WordPiece, and UnigramLM while improving 1.5B-parameter LM scores on CORE.

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  • Tokenization with Split Trees cs.CL · 2026-05-21 · unverdicted · none · ref 65

    ToaST uses vocabulary-independent split trees and integer programming to produce tokenizers with over 11% fewer tokens than BPE, WordPiece, and UnigramLM while improving 1.5B-parameter LM scores on CORE.