2 papers
q-bio.GN2026
Generative Language Models on Nucleotide Sequences of Human Genes
Musa Nuri Ihtiyar, Arzucan Ozgur
Language models, especially transformer-based ones, have achieved colossal success in NLP. To be precise, studies like BERT for NLU and works like GPT-3 for NLG are very important.…
cs.CL2024
Linguistic Laws Meet Protein Sequences: A Comparative Analysis of Subword Tokenization Methods
Burak Suyunu, Enes Taylan, Arzucan Ãzgür
Tokenization is a crucial step in processing protein sequences for machine learning models, as proteins are complex sequences of amino acids that require meaningful segmentation to…