Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval

Researchers propose a new four-phase architecture to reduce AI hallucinations using domain-specific retrieval and verification systems. The framework achieved win rates up to 83.7% across multiple benchmarks, demonstrating significant improvements in factual accuracy for large language models.