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Yu et al., 2025 - Google Patents

Tablerag: A retrieval augmented generation framework for heterogeneous document reasoning

Yu et al., 2025

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Document ID
12746037708615885090
Author
Yu X
Jian P
Chen C
Publication year
Publication venue
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

External Links

Snippet

Abstract Retrieval-Augmented Generation (RAG) has demonstrated considerable effectiveness in open-domain question answering. However, when applied to heterogeneous documents, comprising both textual and tabular components, existing RAG …
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Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30477—Query execution
    • G—PHYSICS
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