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Introduction of AIGC_detector_env2

Model Details of AIGC_detector_env2

AIGC Detector (MPU)

[arXiv] [Codes (Model Links, Other Detector Versions)]

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.

Runs of yuchuantian AIGC_detector_env2 on huggingface.co

Total runs

24-hour runs

-8

3-day runs

-11

7-day runs

-225

30-day runs

More Information About AIGC_detector_env2 huggingface.co Model

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AIGC_detector_env2 install

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