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  "full_text": "Check out M3DocRAG -- multimodal RAG for question answering on Multi-Modal & Multi-Page & Multi-Documents (+ a new open-domain benchmark + strong results on 3 benchmarks)!\n\n⚡️Key Highlights:\n\n➡️ M3DocRAG flexibly accommodates various settings:\n- closed & open-domain document contexts (from a single-page doc to a corpus of many long docs)\n- single & multi-hop questions\n- diverse elements (text, table, image, etc.)\n\n➡️ M3DocVQA is a new open-domain DocVQA benchmark where models should answer multi-hop questions (across multiple pages and documents) 3K+ PDFs (w/ 40K+ pages)\n\n➡️ Strong results on 3 benchmarks (M3DocVQA/MMLongBench-Doc/MP-DocVQA), including SoTA results on MP-DocVQA\n\n🧵👇",
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