SJTU-CL / RoBERTa-large-ArguGPT

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Total runs: 50
24-hour runs: 0
7-day runs: 27
30-day runs: -31
Model's Last Updated: December 24 2023
text-classification

Introduction of RoBERTa-large-ArguGPT

Model Details of RoBERTa-large-ArguGPT

ArguGPT

RoBERTa-large finetuned on ArguGPT essays.

  • label 1 for machine generated essays
  • label 0 for human written essays

Please truncate your input essay to 512 tokens

Citation

Please cite our work arXiv:2304.07666 as

@misc{liu2023argugpt,
      title={ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models}, 
      author={Yikang Liu and Ziyin Zhang and Wanyang Zhang and Shisen Yue and Xiaojing Zhao and Xinyuan Cheng and Yiwen Zhang and Hai Hu},
      year={2023},
      eprint={2304.07666},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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50
Total runs
0
24-hour runs
0
3-day runs
27
7-day runs
-31
30-day runs

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RoBERTa-large-ArguGPT install

RoBERTa-large-ArguGPT is an open source model from GitHub that offers a free installation service, and any user can find RoBERTa-large-ArguGPT on GitHub to install. At the same time, huggingface.co provides the effect of RoBERTa-large-ArguGPT install, users can directly use RoBERTa-large-ArguGPT installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Total runs: 5
Run Growth: -54
Growth Rate: -1080.00%
Updated:November 13 2024