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README.md

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 license: apache-2.0
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+# 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: Zh_v2
+
+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.