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Keyword: bidirectional Mamba ×Clear all

1 claim from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Machine Learning in Bioinformatics

   Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers

   Wang, Wang, Sadeh et al. · arXiv (Cornell University) · 2024

   The authors propose LC-PLM, a protein language model built on a bidirectional Mamba architecture, plus a variant trained on protein interaction graphs, and report gains over ESM-2 and better length extrapolation.

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   1. UncheckedLC-PLM, a Mamba-based protein language model, is reported to beat Transformer-based ESM-2 on protein tasks by up to 30% and 16% at 100B and 1T training tokens.“LC-PLM demonstrates favorable neural scaling laws, better length extrapolation capability, and up to 30% and 16% improvements on protein downstream tasks compared to Transformer-based ESM-2 when trained with 100B and 1T tokens, respectively.”