jlab-nlp/Retrieval-Augmented-Correction

RAC audits each atomic fact against retrieval after the model has already answered

The paper reports up to 30% factuality gains over prior baselines with no fine-tuning, though its own introduction concedes that RAG with Google search had already cleared those baselines by more than ten points.