SEP 4, 2026 · PREPRINT
Training Large Language Models for Small-Molecule Design with Synthetic Task Scaling
arXiv
This is an exploratory computational study proposing a training strategy for LLMs in drug design; it demonstrates proof-of-concept on synthetic tasks but lacks validation in actual experimental or clinical settings and does not report head-to-head comparisons with named frontier models.
Study details
DesignExploratory computational study; proof-of-c…
InterventionCurriculum-based reinforcement learning fro…
ComparatorLarger frontier models (unnamed; details no…