@inproceedings{castaldo-etal-2024-setu,
    title = "The {SETU}-{ADAPT} Submission for {WMT} 24 Biomedical Shared Task",
    author = "Castaldo, Antonio  and
      Zafar, Maria  and
      Nayak, Prashanth  and
      Haque, Rejwanul  and
      Way, Andy  and
      Monti, Johanna",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.wmt-1.53/",
    doi = "10.18653/v1/2024.wmt-1.53",
    pages = "647--653",
    abstract = "This system description paper presents SETU-ADAPT`s submission to the WMT 2024 Biomedical Shared Task, where we participated for the language pairs English-to-French and English-to-German. Our approach focused on fine-tuning Large Language Models, using in-domain and synthetic data, employing different data augmentation and data retrieval strategies. We introduce a novel MT framework, involving three autonomous agents: a Translator Agent, an Evaluator Agent and a Reviewer Agent. We present our findings and report the quality of the outputs."
}