研究人员推出了一种新颖的多模态图RAG管道DeCoRAG，旨在改进复杂文档的理解。该系统解决了 AI
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在 arXiv cs.IR (Information Retrieval) 阅读 →
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DeCoRAG: 复杂文档理解中的认知解耦与语义感知裁剪
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DeCoRAG：用于复杂文档理解的认知解耦和语义感知裁剪
Advancing multimodal retrieval-augmented generation (RAG) for complex document understanding presents a formidable dual dilemma of accuracy and efficiency, particularly in graph RAG. Processing structurally sparse yet visually dense layouts, such as extracting a tiny data marker …