@inproceedings{kim-2025-multi,
    title = "Multi-agent{MT}: Deploying {AI} Agent in the {WMT}25 Shared Task",
    author = "Kim, Ahrii",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Tenth Conference on Machine Translation",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/name-variant-enfa-fane/2025.wmt-1.53/",
    doi = "10.18653/v1/2025.wmt-1.53",
    pages = "769--777",
    ISBN = "979-8-89176-341-8",
    abstract = "We present Multi-agentMT, our system for the WMT25 General Shared Task. The model adopts Prompt Chaining, a multi-agent workflow combined with Rubric-MQM, an automatic MQM-based error annotation metric. Our primary submission follows a Translate{--}Postedit{--}Proofread pipeline, in which error positions are explicitly marked and iteratively refined. Results suggest that a semi-autonomous agent scheme for machine translation is feasible with a smaller, earlier-generation model in low-resource settings, achieving comparable quality at roughly half the cost of larger systems."
}