Edit model card

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_v1

En_v1: This model is trained on HC3-English from a pretrained RoBERTa-Base. The proposed MPU method is applied according to the standard setting in the paper.

Downloads last month
182
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.