AAAI 2026technical0 citations
RegionRAG: Region-level Retrieval-Augmented Generation for Visual Document Understanding
Yinglu Li, Zhiying Lu, Zhihang Liu, Yiwei Sun, Chuanbin Liu, Hongtao Xie
Abstract
Multi-modal Retrieval-Augmented Generation (RAG) has become a critical method for empowering LLMs by leveraging candidate visual documents. However, current methods consider the entire document as the basic retrieval unit, introducing substantial irrelevant visual content in two ways: 1) Relevant documents often contain large regions unrelated to the query, diluting the focus on salient information; 2) Retrieving multiple documents to increase recall further introduces redundant and irrelevant documents. These redundant contexts distract the model
BibTeX
@inproceedings{aaai2026_regionragregionl,
title = {RegionRAG: Region-level Retrieval-Augmented Generation for Visual Document Understanding},
author = {Yinglu Li and Zhiying Lu and Zhihang Liu and Yiwei Sun and Chuanbin Liu and Hongtao Xie},
booktitle = {AAAI 2026},
year = {2026}
}