A team at Stanford has developed a novel approach to grounding that dramatically reduces AI hallucinations in factual tasks.

The Technique

Called 'Verified Reasoning Chains', the method forces models to cite sources at each reasoning step and cross-reference against a knowledge base. Early tests show factual accuracy improving from 85% to 99.2%.