@inproceedings{farooqui-etal-2025-shared,
    title = "Shared Task on Multi-Domain Detection of {AI}-Generated Text ({M}-{DAIGT})",
    author = "Farooqui, Sareem  and
      Zain, Ali  and
      Rafi, Dr Muhammad",
    editor = "Lamsiyah, Salima  and
      Ezzini, Saad  and
      El Mahdaoui, Abdelkader  and
      Alami, Hamza  and
      Benlahbib, Abdessamad  and
      El Amrani, Samir  and
      Chafik, Salmane  and
      Hammouchi, Hicham",
    booktitle = "Proceedings of the Shared Task on Multi-Domain Detection of AI-Generated Text",
    month = sep,
    year = "2025",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/corrections-2026-01/2025.ranlp-mdaigt.3/",
    pages = "15--19",
    abstract = "We participated in two subtasks: Subtask 1, focusing on news articles, and Subtask 2, focusing on academic abstracts. Our submission is based on three distinct architectural approaches: (1) Fine-tuning a RoBERTa-base model, (2) A TF-IDF based system with a Linear Support Vector Machine (SVM) classifier, and (3) An experimental system named Candace, which leverages probabilistic features extracted from multiple Llama-3.2 models (1B and 3B variants) fed into a Transformer Encoder-based classifier. Our RoBERTa-based system demonstrated strong performance on the development and test sets for both subtasks and was chosen as our primary submission to both the shared subtasks."
}