|
--- |
|
license: apache-2.0 |
|
--- |
|
# 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: 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. |
