# AIGC Detector (MPU)

[[arXiv]](https://arxiv.org/abs/2305.18149) [[Codes (Model Links, Other Detector Versions)]](https://github.com/YuchuanTian/AIGC_text_detector)

The AIGC Detector (MPU) in our paper "Multiscale Positive-Unlabeled Detection of AI-Generated Texts".

Paper Link: https://arxiv.org/pdf/2305.18149.pdf

*BibTex* formatted citation:

```
@misc{tian2023multiscale,
      title={Multiscale Positive-Unlabeled Detection of AI-Generated Texts}, 
      author={Yuchuan Tian and Hanting Chen and Xutao Wang and Zheyuan Bai and Qinghua Zhang and Ruifeng Li and Chao Xu and Yunhe Wang},
      year={2023},
      eprint={2305.18149},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

## Version: En_v2

En_v2: This model is trained with MPU from a pretrained RoBERTa-Base, but the standard training setting in the paper is not followed.
{"license": "apache-2.0"}
transformers pytorch roberta text-classification arxiv:2305.18149 license:apache-2.0 autotrain_compatible endpoints_compatible region:us