MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding

Researchers have introduced MolSight, a new vision-language model designed to interpret complex molecular structures directly from chemical images. By integrating graph-aware visual processing with language models, the tool aims to improve the accuracy of molecular design and drug discovery tasks where standard models often fail to capture structural nuances.