Dragomir Radev

This paper integrates protein language models with geometric deep learning to improve protein representation learning, achieving a 20% performance boost on multiple benchmarks.

The paper investigates whether word embeddings align with brain representations and improves them using brain features, showing increased coherence with human semantic judgments.