MIRAGE

MIRAGE: Training-free defense for RAG systems against misinformation in retrieved documents

Researchers introduce MIRAGE, a training-free, model-agnostic defense mechanism for long-form Retrieval-Augmented Generation systems exposed to polluted retrieval corpora. The system builds an NLI-based cross-document claim graph and uses a Defended-Claims Gate to either condition generation on consistently supported evidence or fall back to parametric answering. The authors also release a pollution benchmark protocol spanning four perturbation families and demonstrate that MIRAGE restores factuality across four long-form QA benchmarks where vanilla RAG degrades significantly. Code and datasets are publicly released.