Arbiter-RAG: A Neuro-Symbolic Framework for Conflict Resolution and Temporal Consistency in Autonomous Knowledge Graphs
Knowledge graphs play a vital role in grounding Large Language Models (LLMs) in verifiable facts, which matters wherever facts evolve continuously and stale information is costly, as in clinical informatics. However, existing Retrieval-Augmented Generation (RAG) systems suffer from "structural hallucination," where con...