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      "paperId": "0dc1dcb2-991d-5ff2-b67c-af0a863ad32f",
      "arxivId": "1706.03762v7",
      "data": {
        "title": "Attention Is All You Need",
        "arxivId": "1706.03762v7",
        "authors": [
          "Ashish Vaswani",
          "Noam Shazeer",
          "Niki Parmar",
          "Jakob Uszkoreit",
          "Llion Jones",
          "Aidan N. Gomez",
          "Lukasz Kaiser",
          "Illia Polosukhin"
        ],
        "abstract": "The dominant sequence transduction models are based on complex recurrent or convolutional neural networks...",
        "published": "2017-06-12T17:57:34",
        "aiSummary": "The Transformer paper addresses the inefficiency of recurrent/convolutional sequence transduction models...",
        "toc": [
          {
            "section": "1",
            "nodeId": "sec:1",
            "title": "Introduction",
            "depth": 1
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          {
            "section": "3",
            "nodeId": "sec:3",
            "title": "Model Architecture",
            "depth": 1
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            "nodeId": "fig:1",
            "number": "1",
            "caption": "The Transformer - model architecture."
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            "nodeId": "tab:1",
            "number": "1",
            "caption": "Maximum path lengths, per-layer complexity..."
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    {
      "paperId": "ce3e6ee3-404c-5e70-b198-e8517510bd50",
      "arxivId": "2108.07258v3",
      "data": {
        "title": "On the Opportunities and Risks of Foundation Models",
        "arxivId": "2108.07258v3",
        "authors": [
          "Rishi Bommasani",
          "Drew A. Hudson",
          "Ehsan Adeli",
          "et al."
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        "abstract": "AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3)...",
        "published": "2021-08-16T17:50:08"
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      "paperId": "0b753398-6439-522f-868a-b5a00c2e99b7",
      "arxivId": "2303.08774v6",
      "data": {
        "title": "GPT-4 Technical Report",
        "arxivId": "2303.08774v6",
        "authors": [
          "OpenAI",
          "Josh Achiam",
          "Steven Adler",
          "et al."
        ],
        "abstract": "We report the development of GPT-4, a large-scale, multimodal model...",
        "published": "2023-03-15T17:15:04"
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    }
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