#machine learning
May 2025
ChemMLLM: Chemical Multimodal Large Language Model
This work designs five types of multimodal tasks across text, molecular SMILES strings and images, and curates the datasets, demonstrating the feasibility of unifying multiple cross-modal chemical tasks within a single foundation model and enabling more intuitive, visual human-AI interaction.
Qian Tan, Di Zhang, Ben Gao et al.
· arXiv.org · 16 citations