Category: RAG Attribution

  • 5 New RAG Attribution Methods That Slash Hallucinations 80%

    5 New RAG Attribution Methods That Slash Hallucinations 80%

    Last Tuesday, a team of machine learning researchers at MIT and Stanford quietly dropped a preprint that could change how every regulated industry trusts its RAG pipelines. The study, posted on arXiv on May 28, 2026, showed that five specific attribution frameworks, none of which are proprietary or bundled into a major enterprise platform yet,…