MolX enhances Large Language Models by incorporating multi-modal capabilities to better understand and process molecular structures beyond text-based representations.

Key Innovations:

• Overcomes limitations of text-only molecular representations (SMILES strings)
• Introduces multi-modal approach to molecular learning for LLMs
• Improves performance on professional chemistry and pharmaceutical tasks
• Enables better molecular comprehension for drug discovery applications

Why It Matters:
This advancement significantly impacts pharmaceutical research by improving how AI interprets molecular structures, potentially accelerating drug discovery and development processes while reducing costs.

MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension