Ontology-Constrained Generation of Domain-Specific Clinical Summaries

Ontology-Constrained Generation of Domain-Specific Clinical Summaries

Speaker: Gaya

Topics: Ontology, Constrained Decoding

Abstract

Large Language Models (LLMs) offer promising solutions for text summarization. However, some medical domains require specific information to be available in the summaries. Generating these domain-adapted summaries is still an open challenge. Similarly, hallucinations in generated content is a major drawback of current approaches, preventing their deployment. This study proposes a novel approach that leverages ontologies to create domain-adapted summaries both structured and unstructured. We employ an ontology-guided constrained decoding process to reduce hallucinations while improving relevance.