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Nan Huang

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#machine learning Apr 2026

EvoLen: Evolution-Guided Tokenization for DNA Language Model

EvoLen is a tokenizer that combines evolutionary stratification with length-aware decoding to better preserve motif-scale functional sequence units and demonstrates that tokenization introduces a critical inductive bias and that incorporating evolutionary information yields more biologically meaningful and interpretable sequence representations.

Nan Huang, Xiaoxiao Zhou, Junxia Cui et al. · arXiv.org · 0 citations