Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation

Kamil Guttmann; Zofia Rostek; Adrian Charkiewicz; Antoni Solarski; Mikołaj Pokrywka; Artur Nowakowski

Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation

Kamil Guttmann, Zofia Rostek, Adrian Charkiewicz, Antoni Solarski, Mikołaj Pokrywka, Artur Nowakowski

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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.

Anthology ID:: 2025.wmt-1.54
Volume:: Proceedings of the Tenth Conference on Machine Translation
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
Venue:: WMT
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 778–788
Language:
URL:: https://aclanthology.org/2025.wmt-1.54/
DOI:
Bibkey:
Cite (ACL):: Kamil Guttmann, Zofia Rostek, Adrian Charkiewicz, Antoni Solarski, Mikołaj Pokrywka, and Artur Nowakowski. 2025. Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation. In Proceedings of the Tenth Conference on Machine Translation, pages 778–788, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation (Guttmann et al., WMT 2025)
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PDF:: https://aclanthology.org/2025.wmt-1.54.pdf

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@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://aclanthology.org/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."
}

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%0 Conference Proceedings
%T Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation
%A Guttmann, Kamil
%A Rostek, Zofia
%A Charkiewicz, Adrian
%A Solarski, Antoni
%A Pokrywka, Mikołaj
%A Nowakowski, Artur
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Tenth Conference on Machine Translation
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-341-8
%F guttmann-etal-2025-laniqo
%X 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.
%U https://aclanthology.org/2025.wmt-1.54/
%P 778-788

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Markdown (Informal)

[Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation](https://aclanthology.org/2025.wmt-1.54/) (Guttmann et al., WMT 2025)

Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation (Guttmann et al., WMT 2025)

ACL

Kamil Guttmann, Zofia Rostek, Adrian Charkiewicz, Antoni Solarski, Mikołaj Pokrywka, and Artur Nowakowski. 2025. Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation. In Proceedings of the Tenth Conference on Machine Translation, pages 778–788, Suzhou, China. Association for Computational Linguistics.