Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors
Paper • 2503.15128 • Published
This repository includes the QLoRA adapter of the best robustly finetuned multilingual detector of machine-generated texts based on the evaluation in the paper.
The training data composition as well as the training source code is available in the repo.
Disclaimer
The detector is available for non-commercial research purpose only - by requesting the access to this model you are agreeing to this condition. It is provided "as is" without any warranties of any kind. Despite our effort, the model's output labels may be incorrect, biased, or inaccurate. Do not use this model for any form of automated decision-making.
Cite
If you use the model, code, or any information from this repository, please cite the paper:
@misc{macko2025increasingrobustnessfinetunedmultilingual,
title={Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors},
author={Dominik Macko and Robert Moro and Ivan Srba},
year={2025},
eprint={2503.15128},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2503.15128},
}
Funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I01-03-V04-00059.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support