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| license: apache-2.0 |
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| # AIGC Detector (MPU) |
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| [[arXiv]](https://arxiv.org/abs/2305.18149) [[Codes (Model Links, Other Detector Versions)]](https://github.com/YuchuanTian/AIGC_text_detector) |
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| The AIGC Detector (MPU) in our paper "Multiscale Positive-Unlabeled Detection of AI-Generated Texts". |
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| Paper Link: https://arxiv.org/pdf/2305.18149.pdf |
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| *BibTex* formatted citation: |
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| ``` |
| @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} |
| } |
| ``` |
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| ## Version: En_v2 |
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| En_v2: This model is trained with MPU from a pretrained RoBERTa-Base, but the standard training setting in the paper is not followed. |
