triospect
July 1, 2026 · View on GitHub
Code base for TACL 2026 paper Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks
Project structure
├── scripts/ <- Scripts for baseline detectors and Triospect batch processing and evaluation.
├── data/ <- Humanize-16K and RAID subset with content/expression-preserving transformations.
└── exp_test/ <- Main experimental results.
Citation
If you find the content of this repo useful, please cite it as follows:
@article{bao2026triospect,
title={Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks},
author={Bao, Guangsheng and Rong, Lihua and Zhao, Yanbin and Yu, Xiao and Zhou, Qiji and Zhang, Yue},
journal={arXiv preprint arXiv:2606.31074},
year={2026}
}