@inproceedings{solera-monforte-etal-2024-mate-simulating,
    title = "Be My Mate: Simulating Virtual Students for collaboration using Large Language Models",
    author = "Solera-Monforte, Sergi  and
      Arnau-Gonz{\'a}lez, Pablo  and
      Arevalillo-Herr{\'a}ez, Miguel",
    editor = "Mahamood, Saad  and
      Minh, Nguyen Le  and
      Ippolito, Daphne",
    booktitle = "Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations",
    month = sep,
    year = "2024",
    address = "Tokyo, Japan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.inlg-demos.1/",
    pages = "1--3",
    abstract = "Advancements in machine learning, particularly Large Language Models (LLMs), offer new opportunities for enhancing education through personalized assistance. We introduce ``Be My Mate,'' an agent that leverages LLMs to simulate virtual peer students in online collaborative education. The system includes a subscription module for real-time updates and a conversational module for generating supportive interactions. Key challenges include creating temporally realistic interactions and credible error generation. The initial demonstration shows promise in enhancing student engagement and learning outcomes."
}