Trilce Estrada

This paper introduces a method to compress protein language model embeddings using polynomial trajectories and PCA, achieving efficient storage and reconstruction without loss of downstream task performance.

The paper evaluates challenges in predicting arenavirus-human PPIs, revealing issues with model generalization and proposing a framework for more reliable evaluation.