3 papers
cs.LG2025
STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation
Bum Chul Kwon, Ben Shapira, Moshiko Raboh +5
The chemical space of drug-like molecules is vast, motivating the development of generative models that must learn broad chemical distributions, enable conditional generation by ca…
q-bio.QM2025
BioVERSE: Representation Alignment of Biomedical Modalities to LLMs for Multi-Modal Reasoning
Ching-Huei Tsou, Michal Ozery-Flato, Ella Barkan +2
Recent advances in large language models (LLMs) and biomedical foundation models (BioFMs) have achieved strong results in biological text reasoning, molecular modeling, and single-…
q-bio.QM2025
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato +18
Large language models applied to vast biological datasets have the potential to transform biology by uncovering disease mechanisms and accelerating drug development. However, curre…