Jeremy Goumaz

Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language

Transformer models have revolutionized natural language processing (NLP), and text-based molecular representations like SMILES have successfully extended these architectures to chemistry. However, domain-adaptive pre-training often causes models to overfit to chemical syntax, catastrophically forgetting their foundatio...