Building from the ground up: augmentation strategies to improve protein language model performance on protein sets
Emily Stump, T. S. Hayden Dennison, Pietro Strobbia, George Stan, Ruxandra I. Dima
This study investigates augmentation strategies to improve protein language model performance by reducing dataset size and enhancing generalization through active learning and generative models.
bioRxiv · Oct 25, 2026 · PreprintBiophysics