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 # MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents
 
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 ## Abstract
 Multi-modal document retrieval is designed to identify and retrieve various forms of multi-modal content, such as figures, tables, charts, and layout information from extensive documents.
 Despite its significance, there is a notable lack of a robust benchmark to effectively evaluate the performance of systems in multi-modal document retrieval.