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Trust Before Fusion: Source-Aware Resolution Improves Polluted Multimodal RAG

Jul 14, 2026

A new preprint introduces QIMG-7, a benchmark designed to evaluate multimodal retrieval-augmented generation (RAG) systems under conditions of retrieval pollution, including unreliable or manipulated text and images. The authors propose source-aware trust resolution (SATR), a training-free method that selects among parametric, text-only, and multimodal answers based on the reliability of retrieved sources. SATR achieves a balanced score of 0.816 on QIMG-7, outperforming naive multimodal fusion by 11.7 points and demonstrating improved robustness to polluted retrieval.

Why it matters: This work provides a practical approach to improving the reliability of multimodal RAG systems in the presence of unreliable or adversarially manipulated retrieved content.

Full story at: arXiv Computation and Language ↗

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