PairIT: autoregressive transformers for low-data molecule optimization enable seeded generation over SMILES sequences
Read the original at arxiv.org→arXiv:2610.19123v1 Announce Type: new Abstract: Generating novel molecules with desired properties is a central challenge in drug discovery. Although foundational work focused on de novo generation, practical use...
Original headline: "PairIT: Autoregressive Transformers for Low-Data Molecule Optimization"
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- Oct 15, 04:00 UTC arXiv cs.LG lead source PairIT: Autoregressive Transformers for Low-Data Molecule Optimization