@inproceedings{guttmann-etal-2025-laniqo,
    title = "Laniqo at {WMT}25 General Translation Task: Self-Improved and Retrieval-Augmented Translation",
    author = "Guttmann, Kamil  and
      Rostek, Zofia  and
      Charkiewicz, Adrian  and
      Solarski, Antoni  and
      Pokrywka, Miko{\l}aj  and
      Nowakowski, Artur",
    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/ingest-emnlp/2025.wmt-1.54/",
    pages = "778--788",
    ISBN = "979-8-89176-341-8",
    abstract = "This work describes Laniqo{'}s submission to the constrained track of the WMT25 General MT Task. We participated in 11 translation directions. Our approach combines several techniques: fine-tuning the EuroLLM-9B-Instruct model using Contrastive Preference Optimization on a synthetic dataset, applying Retrieval-Augmented Translation with human-translated data, implementing Quality-Aware Decoding, and performing postprocessing of translations with a rule-based algorithm. We analyze the contribution of each method and report improvements at every stage of our pipeline."
}