Model Card for Hello-SimpleAI/chatgpt-detector-roberta

This model is trained on the mix of full-text and splitted sentences of answers from Hello-SimpleAI/HC3.

More details refer to arxiv: 2301.07597 and Gtihub project Hello-SimpleAI/chatgpt-comparison-detection.

The base checkpoint is roberta-base. We train it with all Hello-SimpleAI/HC3 data (without held-out) for 1 epoch.

(1-epoch is consistent with the experiments in our paper.)

Citation

Checkout this papaer arxiv: 2301.07597

@article{guo-etal-2023-hc3,
 title = "How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection",
 author = "Guo, Biyang and
 Zhang, Xin and
 Wang, Ziyuan and
 Jiang, Minqi and
 Nie, Jinran and
 Ding, Yuxuan and
 Yue, Jianwei and
 Wu, Yupeng",
 journal={arXiv preprint arxiv:2301.07597}
 year = "2023",
}