AI RESEARCH
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image
arXiv CS.CV
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ArXi:2504.02132v4 Announce Type: replace-cross Retrieval-augmented generation (RAG) is instrumental for inhibiting hallucinations in large language models (LLMs) through the use of a factual knowledge base (KB). Although PDF documents are prominent sources of knowledge, text-based RAG pipelines are ineffective at capturing their rich multi-modal information. In contrast, visual document RAG (VD-RAG) uses screenshots of document pages as the KB, which has been shown to achieve state-of-the-art results. However, by