A self-training method that uses an existing medical ontology to select and learn from the model's own inconsistent answers improves medical QA and taxonomy tasks while preserving general ability.
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OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
A self-training method that uses an existing medical ontology to select and learn from the model's own inconsistent answers improves medical QA and taxonomy tasks while preserving general ability.