SJTU-CL
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RoBERTa-large-ArguGPT

Text Classification

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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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Safetensors

Model size

355M params

Tensor type

I64

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F32

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Inference Examples

Text Classification

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Dataset used to train SJTU-CL/RoBERTa-large-ArguGPT