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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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``` |
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@misc{tian2023multiscale, |
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title={Multiscale Positive-Unlabeled Detection of AI-Generated Texts}, |
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author={Yuchuan Tian and Hanting Chen and Xutao Wang and Zheyuan Bai and Qinghua Zhang and Ruifeng Li and Chao Xu and Yunhe Wang}, |
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year={2023}, |
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eprint={2305.18149}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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## Version: Zh_v2 |
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Zh_v2: This model is trained with MPU from a pretrained Chinese-RoBERTa-wwm-ext, but the standard training setting in the paper is not followed. This model demonstrates comparable performance to SOTA closed-source Chinese detectors on various domains. |
