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AIGC_detector_zhv2
yuchuantian/AIGC_detector_zhv2
AIGC_detector_zhv2 is a text classification model from yuchuantian. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
[[arXiv]](https://arxiv.org/abs/2305.18149) [[Codes (Model Links, Other Detector Versions)]](https://github.com/YuchuanTian/AIGCtextdetector)
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Dec 28, 2023
- SHA
- 547d42d7
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Model card
From the Hugging Face model README
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: 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.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 26, 2023
- Updated
- Dec 28, 2023