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BayesRAG: Probabilistic Mutual Evidence Corroboration for Multimodal Retrieval-Augmented Generation

BayesRAG applies Bayesian inference and Dempster-Shafer theory to fuse multimodal retrieval evidence, improving retrieval confidence via cross-modal mutual corroboration. It significantly outperforms state-of-the-art methods on challenging multimodal benchmarks.

Xuan Li, Yining Wang, Haocai Luo, Shengping Liu and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 6

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AI panel: 8 of 20 reviewers recommend it
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medium 4/10
strict 0/5