LA³ (Language-based Automatic Annotation Augmentation) framework leverages large language models to create richer molecular datasets for biological research.

• Addresses critical shortage of high-quality molecular annotations
• Creates enhanced dataset (LaChEBI-20) through automated augmentation
• Improves AI training for molecular-language translation tasks
• Accelerates drug discovery through better integration of molecular data

Why It Matters: This approach removes a key bottleneck in pharmaceutical research by automatically generating the high-quality annotations needed for AI systems to effectively process and translate between molecular structures and natural language descriptions.

Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language