AI research
The research paper "Recursive Ontological Refinement: Iterative Logic Correction in Multi--Step RAG" (arXiv:2607.13001), published on July 13, 2026, introduces a framework for enhancing the precision of complex queries. Researchers at the University of Cambridge and Meta AI propose "Recursive Ontological Refinement" (ROR), which utilizes a "Logic Feedback Loop" to cross--reference intermediate generative steps with hierarchical knowledge graphs. By implementing this iterative validation, the system significantly reduces semantic drift and logical fallacies in long--form reasoning tasks, outperforming static RAG baselines in legal and medical domain benchmarks.