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T5

zhang-2023-multimodal.md
Frontmatter (10 fields)
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  "doc": "zhang-2023-multimodal.md",
  "context": "Encoder-decoder architecture used as backbone for Multimodal-CoT; available in Base (200M) and Large (700M) variants.",
  "category": "ai",
  "norm_label": "T5",
  "graphify_id": "t5_model",
  "source_file": "zhang-2023-multimodal.md",
  "imported_from": "/Users/antonborzov/Documents/Research.nosync/papers/extract_typed_out/zhang-2023-multimodal/graph.json",
  "extracted_type": "framework",
  "source_location": "§5.2",
  "graphify_file_type": "framework"
}

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    zhang-2023-multimodal.md