Angelo Salatino

Targeted fine-tuning can boost the performance of small LLMs in biomedical ontology generation by over 34 percentage points, revealing a powerful method to automate knowledge structuring.

Mistral outperforms existing methods with a striking 90.5% accuracy in topic classification, revealing a new standard for entity extraction in grant proposals.