Presents a lightweight framework using ontologies to enable constrained generation in conversational LLMs. The approach allows developers to restrict model outputs to predefined knowledge structures without heavyweight architectural changes. Relevant for compliance, domain-specific generation, and safety-aligned AI.
Safety
Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation
Ontologies offer a lightweight way to constrain LLM generation for safety and compliance without architectural redesign, shifting control from model training to application-level logic.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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