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arXiv · 2601.13222

Incorporating Q&A Nuggets into Retrieval-Augmented Generation

Laura Dietz·Bryan Li·Gabrielle Liu·Jia-Huei Ju·Eugene Yang·Dawn Lawrie·William Walden·James Mayfield
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Abstract

RAGE systems integrate ideas from automatic evaluation (E) into Retrieval-augmented Generation (RAG). As one such example, we present Crucible, a Nugget-Augmented Generation System that preserves explicit citation provenance by constructing a bank of Q&A nuggets from retrieved documents and uses them to guide extraction, selection, and report generation. Reasoning on nuggets avoids repeated information through clear and interpretable Q&A semantics - instead of opaque cluster abstractions - while maintaining citation provenance throughout the entire generation process. Evaluated on the TREC NeuCLIR 2024 collection, our Crucible system substantially outperforms Ginger, a recent nugget-based RAG system, in nugget recall, density, and citation grounding.

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Laura Dietz, Bryan Li, Gabrielle Liu, Jia-Huei Ju, Eugene Yang, Dawn Lawrie, William Walden, James Mayfield. 2026-01-19. Incorporating Q&A Nuggets into Retrieval-Augmented Generation. https://arxiv.org/abs/2601.13222

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