The paper on our language model for SMILES strings, “SMILESformer”, which we developed, has been accepted for a poster session at the “Machine Learning for Drug Discovery (MLDD) Workshop” held during the “International Conference on Learning Representations (ICLR) 2023”.

Title: “SmilesFormer: Language Model for Molecular Design”
Authors: Joshua Owoyemi, Nazim Medzhidov (Both research engineers at Elix, Inc.)
Please note that Joshua Owoyemi will be attending the session on Friday, May 5th.

■ “MLDD 2023” Official Website
https://sites.google.com/view/mldd-2023/home