What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices

Cite

Text

Noels et al. "What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025. doi:10.1007/978-3-032-05962-8_16

Markdown

[Noels et al. "What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025.](https://mlanthology.org/ecmlpkdd/2025/noels2025ecmlpkdd-large/) doi:10.1007/978-3-032-05962-8_16

BibTeX

@inproceedings{noels2025ecmlpkdd-large,
  title     = {{What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices}},
  author    = {Noels, Sander and Bied, Guillaume and Buyl, Maarten and Rogiers, Alexander and Fettach, Yousra and Lijffijt, Jefrey and De Bie, Tijl},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2025},
  pages     = {265-281},
  doi       = {10.1007/978-3-032-05962-8_16},
  url       = {https://mlanthology.org/ecmlpkdd/2025/noels2025ecmlpkdd-large/}
}