AI research
The research paper "Recursive Ontological Refinement: Iterative Logic Correction in Knowledge--Dense RAG" (arXiv:2605.14890), published on May 14, 2026, introduces a novel feedback loop for enhancing the precision of Retrieval--Augmented Generation. The authors propose "Recursive Ontological Refinement" (ROR), a process where the LLM generates an initial response, maps it against a formal ontology to identify logical gaps, and then re--queries the retrieval engine with specific ontological constraints to fill those gaps. This iterative approach significantly reduces "logical hallucinations" in complex domains like legal and medical reasoning by ensuring every generative step is anchored in a verified symbolic structure.