[
  {
    "Accuracy": 72.95,
    "code_links": [
      {
        "title": "huggingface/transformers",
        "url": "https://github.com/huggingface/transformers"
      },
      {
        "title": "zihangdai/xlnet",
        "url": "https://github.com/zihangdai/xlnet"
      },
      {
        "title": "kaushaltrivedi/fast-bert",
        "url": "https://github.com/kaushaltrivedi/fast-bert"
      },
      {
        "title": "graykode/xlnet-Pytorch",
        "url": "https://github.com/graykode/xlnet-Pytorch"
      },
      {
        "title": "facebookresearch/anli",
        "url": "https://github.com/facebookresearch/anli"
      },
      {
        "title": "tomgoter/nlp_finalproject",
        "url": "https://github.com/tomgoter/nlp_finalproject"
      },
      {
        "title": "2miatran/Natural-Language-Processing",
        "url": "https://github.com/2miatran/Natural-Language-Processing"
      },
      {
        "title": "fanchenyou/transformer-study",
        "url": "https://github.com/fanchenyou/transformer-study"
      },
      {
        "title": "pauldevos/python-notes",
        "url": "https://github.com/pauldevos/python-notes"
      },
      {
        "title": "samwisegamjeee/pytorch-transformers",
        "url": "https://github.com/samwisegamjeee/pytorch-transformers"
      },
      {
        "title": "pink-vanilla-skies/nlp",
        "url": "https://github.com/pink-vanilla-skies/nlp"
      },
      {
        "title": "listenviolet/XLNet",
        "url": "https://github.com/listenviolet/XLNet"
      }
    ],
    "date": "2019-06-19",
    "date2": 20190619,
    "model": "XLNet",
    "paper": {
      "title": "XLNet: Generalized Autoregressive Pretraining for Language Understanding",
      "url": "https://cknow.io/lib/80d0256704c2415c"
    },
    "paper_data_uoa": "80d0256704c2415c"
  },
  {
    "Accuracy": 70.58,
    "code_links": [
      {
        "title": "xuyige/BERT4doc-Classification",
        "url": "https://github.com/xuyige/BERT4doc-Classification"
      },
      {
        "title": "ongunuzaymacar/comparatively-finetuning-bert",
        "url": "https://github.com/ongunuzaymacar/comparatively-finetuning-bert"
      },
      {
        "title": "uzaymacar/comparatively-finetuning-bert",
        "url": "https://github.com/uzaymacar/comparatively-finetuning-bert"
      },
      {
        "title": "helmy-elrais/RoBERT_Recurrence_over_BERT",
        "url": "https://github.com/helmy-elrais/RoBERT_Recurrence_over_BERT"
      },
      {
        "title": "LFhase/Research_Navigation",
        "url": "https://github.com/LFhase/Research_Navigation"
      },
      {
        "title": "arctic-yen/Google_QUEST_Q-A_Labeling",
        "url": "https://github.com/arctic-yen/Google_QUEST_Q-A_Labeling"
      }
    ],
    "date": "2019-05-14",
    "date2": 20190514,
    "model": "BERT-ITPT-FiT",
    "paper": {
      "title": "How to Fine-Tune BERT for Text Classification?",
      "url": "https://cknow.io/lib/8e698868bc374ea6"
    },
    "paper_data_uoa": "8e698868bc374ea6"
  },
  {
    "Accuracy": 67.92,
    "code_links": [
      {
        "title": "google-research/uda",
        "url": "https://github.com/google-research/uda"
      },
      {
        "title": "ildoonet/unsupervised-data-augmentation",
        "url": "https://github.com/ildoonet/unsupervised-data-augmentation"
      },
      {
        "title": "SanghunYun/UDA_pytorch",
        "url": "https://github.com/SanghunYun/UDA_pytorch"
      },
      {
        "title": "uizard-technologies/realmix",
        "url": "https://github.com/uizard-technologies/realmix"
      },
      {
        "title": "yechens/QiuZhao-ChongChongChong",
        "url": "https://github.com/yechens/QiuZhao-ChongChongChong"
      },
      {
        "title": "peisuke/UnsupervisedDataAugmentation.pytorch",
        "url": "https://github.com/peisuke/UnsupervisedDataAugmentation.pytorch"
      },
      {
        "title": "sud0301/my_uda_pytorch",
        "url": "https://github.com/sud0301/my_uda_pytorch"
      },
      {
        "title": "PhamNguyen97/TSA_pytorch",
        "url": "https://github.com/PhamNguyen97/TSA_pytorch"
      },
      {
        "title": "PaulEmmanuelSotir/DeepCV",
        "url": "https://github.com/PaulEmmanuelSotir/DeepCV"
      },
      {
        "title": "tomgoter/nlp_finalproject",
        "url": "https://github.com/tomgoter/nlp_finalproject"
      },
      {
        "title": "bhacquin/UDA_pytorch",
        "url": "https://github.com/bhacquin/UDA_pytorch"
      },
      {
        "title": "lantgabor/Unsupervised-Data-Augmentation-PyTorch",
        "url": "https://github.com/lantgabor/Unsupervised-Data-Augmentation-PyTorch"
      }
    ],
    "date": "2019-04-29",
    "date2": 20190429,
    "model": "BERT Finetune + UDA",
    "paper": {
      "title": "Unsupervised Data Augmentation for Consistency Training",
      "url": "https://cknow.io/lib/3580444694f5b59b"
    },
    "paper_data_uoa": "3580444694f5b59b"
  }
]