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

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cs.CL 1

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2026 1

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Tokenization with Split Trees

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

ToaST uses split trees and integer programming to cut token counts by over 11% versus BPE on English text at 40k+ vocab sizes, yielding higher CORE scores in 1.5B-parameter language model training.

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

    ToaST uses split trees and integer programming to cut token counts by over 11% versus BPE on English text at 40k+ vocab sizes, yielding higher CORE scores in 1.5B-parameter language model training.