AIBullisharXiv – CS AI · Apr 76/10
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Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation
Researchers developed a lightweight framework that uses ontological definitions to provide modular and explainable control over Large Language Model outputs in conversational systems. The method fine-tunes LLMs to generate content according to specific constraints like English proficiency level and content polarity, consistently outperforming pre-trained baselines across seven state-of-the-art models.