Evo 2 as a classification machine: evidence from in-context learning and mechanistic interpretability
Lorenzo Bertolini, Fabiola Curion, Mauro Petrillo, Gabriele Leoni, Michele Ronco, Victoria Ruiz‐Serra, Sergio Consoli, Mario Ceresa
This paper evaluates Evo 2's in-context learning capabilities on genomic sequences, finding strong performance on short sequences but degradation with length, and no benefit from model scaling.
bioRxiv · Sep 30, 2026 · PreprintGenomics