Researchers have developed EvoLen, an evolution-guided tokenizer for DNA language models that prioritizes functional sequence patterns over conventional linguistic rules. By integrating cross-species evolutionary signals and length-aware decoding, EvoLen enhances the preservation of regulatory motifs and improves alignment with biological constraints, offering more meaningful sequence representations than standard methods like BPE.
Read the full article at arXiv cs.LG (ML)
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Ali NematiWritten by Ali
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