TTHHA/ViFactCheck

[AAAI2025] Code for ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese

Jupyter Notebook

16

8 commits

updated Apr 23, 2025

See the code

README

ViFactCheck

[AAAI 2025] Official repository for ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese.

Dataset & Model Weights

The ViFactCheck dataset and pretrained model weights used in our experiments are publicly available on Hugging Face.
You can access them here:
👉 Hugging Face Collection – ViFactCheck

Citation

If you use our dataset, models, or code in your research, please cite the following paper. We also encourage you to cite the original sources of any datasets incorporated in our work.

@inproceedings{hoa2025vifactcheck,
  title={ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese},
  author={Hoa, Tran Thai and Duy, Tran Quang and Tran, Khanh Quoc and Van Nguyen, Kiet},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  url={https://ojs.aaai.org/index.php/AAAI/article/view/32008},
  DOI={10.1609/aaai.v39i1.32008},
  volume={39},
  number={1},
  pages={308--316},
  year={2025}
}
aaai2025
ai
data-mining
low-resource
nlp
vietnamese-nlp

TTHHA/ViFactCheck

[AAAI2025] Code for ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese

Jupyter Notebook

16

8 commits

updated Apr 23, 2025

See the code

README

ViFactCheck

[AAAI 2025] Official repository for ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese.

Dataset & Model Weights

The ViFactCheck dataset and pretrained model weights used in our experiments are publicly available on Hugging Face.
You can access them here:
👉 Hugging Face Collection – ViFactCheck

Citation

If you use our dataset, models, or code in your research, please cite the following paper. We also encourage you to cite the original sources of any datasets incorporated in our work.

@inproceedings{hoa2025vifactcheck,
  title={ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese},
  author={Hoa, Tran Thai and Duy, Tran Quang and Tran, Khanh Quoc and Van Nguyen, Kiet},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  url={https://ojs.aaai.org/index.php/AAAI/article/view/32008},
  DOI={10.1609/aaai.v39i1.32008},
  volume={39},
  number={1},
  pages={308--316},
  year={2025}
}
aaai2025
ai
data-mining
low-resource
nlp
vietnamese-nlp