MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation

In three linesMODE-RAG is a multi-agent system driven by Variational Free Energy to reduce hallucinations in Multimodal Retrieval-Augmented Generation. It uses Monte Carlo Tree Search, logit perturbations, and specialized agents to route high-risk queries and perform post-hoc factual verification. Authors introduce ModeVent, a challenging subset of MultiVent dataset, to evaluate M-RAG robustness.

Summary generated by Claude — human-verified