ERA models internal and external knowledge as independent Dirichlet belief masses and uses Dempster-Shafer Theory to quantify conflicts, enabling better abstention decisions in RAG systems.
InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
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ERA: Evidence-based Reliability Alignment for Honest Retrieval-Augmented Generation
ERA models internal and external knowledge as independent Dirichlet belief masses and uses Dempster-Shafer Theory to quantify conflicts, enabling better abstention decisions in RAG systems.