General-purpose foundation models surpass specialized ones on chemical property prediction tasks.

arXiv:2610.41899v1 Announce Type: cross Abstract: Foundation models (FMs) learn reusable representations from large collections of unlabeled data. In chemistry the corresponding data mainly consists of molecular structures, which are abundant, whereas experime