
# 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](https://arxiv.org/abs/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}
}
```
{"language": ["en"], "license": "mit", "tags": ["ArguGPT"], "datasets": ["SJTU-CL/ArguGPT"], "metrics": ["accuracy"], "thumbnail": "url to a thumbnail used in social sharing", "pipeline_tag": "text-classification"}
transformers pytorch safetensors roberta text-classification ArguGPT en dataset:SJTU-CL/ArguGPT arxiv:2304.07666 license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #safetensors #roberta #text-classification #ArguGPT #en #dataset-SJTU-CL/ArguGPT #arxiv-2304.07666 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 


# 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

Please cite our work arXiv:2304.07666 as  


# 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

Please cite our work arXiv:2304.07666 as
TAGS
#transformers #pytorch #safetensors #roberta #text-classification #ArguGPT #en #dataset-SJTU-CL/ArguGPT #arxiv-2304.07666 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # 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

Please cite our work arXiv:2304.07666 as
TAGS
#transformers #pytorch #safetensors #roberta #text-classification #ArguGPT #en #dataset-SJTU-CL/ArguGPT #arxiv-2304.07666 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# 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

Please cite our work arXiv:2304.07666 as