Multi-Peptide Prompting Enables In-Context Learning in Protein Language Models
It is shown that single-sequence PLMs can perform in-context peptide learning without gradient updates, task-specific retraining, or architectural modification, and MPEP conditioning is established as a lightweight strategy for low-data peptide classification.
Joshua Almonte, Minh Vu, Andrew Ahn et al.
· bioRxiv · 0 citations