PolEval 2025

Łukasz Kobyliński; Ryszard Staruch; Alina Wróblewska; Maciej Ogrodniczuk

PolEval 2025

Łukasz Kobyliński, Ryszard Staruch, Alina Wróblewska, Maciej Ogrodniczuk

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Abstract

PolEval is an annual shared-task evaluation campaign dedicated to advancing natural language processing for the Polish language. This paper presents an overview of PolEval 2025, the eighth edition of the campaign, which included three completed tasks covering machine-generated text detection, gender-inclusive language generation, and speech emotion recognition. The evaluation was conducted using standardised datasets and metrics via the AmuEval platform. PolEval 2025 attracted 15 teams and over 100 submissions, demonstrating continued engagement from the Polish NLP community. We describe the organisation of the campaign, the evaluation setup, and the role of PolEval in fostering reproducible research and community-driven benchmarking.

Anthology ID:: 2025.poleval-main.1
Volume:: Proceedings of the PolEval 2025 Workshop
Month:: November
Year:: 2025
Address:: Warsaw
Editors:: Łukasz Kobyliński, Alina Wróblewska, Maciej Ogrodniczuk
Venues:: PolEval | WS
SIG:
Publisher:: Institute of Computer Science PAS and Association for Computational Linguistics
Note:
Pages:: 1–4
Language:
URL:: https://aclanthology.org/2025.poleval-main.1/
DOI:
Bibkey:
Cite (ACL):: Łukasz Kobyliński, Ryszard Staruch, Alina Wróblewska, and Maciej Ogrodniczuk. 2025. PolEval 2025. In Proceedings of the PolEval 2025 Workshop, pages 1–4, Warsaw. Institute of Computer Science PAS and Association for Computational Linguistics.
Cite (Informal):: PolEval 2025 (Kobyliński et al., PolEval 2025)
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PDF:: https://aclanthology.org/2025.poleval-main.1.pdf

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@inproceedings{kobylinski-etal-2025-poleval,
    title = "{P}ol{E}val 2025",
    author = "Kobyli{\'n}ski, {\L}ukasz  and
      Staruch, Ryszard  and
      Wr{\'o}blewska, Alina  and
      Ogrodniczuk, Maciej",
    editor = "Kobyli{\'n}ski, {\L}ukasz  and
      Wr{\'o}blewska, Alina  and
      Ogrodniczuk, Maciej",
    booktitle = "Proceedings of the {P}ol{E}val 2025 Workshop",
    month = nov,
    year = "2025",
    address = "Warsaw",
    publisher = "Institute of Computer Science PAS and Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.poleval-main.1/",
    pages = "1--4",
    abstract = "PolEval is an annual shared-task evaluation campaign dedicated to advancing natural language processing for the Polish language. This paper presents an overview of PolEval 2025, the eighth edition of the campaign, which included three completed tasks covering machine-generated text detection, gender-inclusive language generation, and speech emotion recognition. The evaluation was conducted using standardised datasets and metrics via the AmuEval platform. PolEval 2025 attracted 15 teams and over 100 submissions, demonstrating continued engagement from the Polish NLP community. We describe the organisation of the campaign, the evaluation setup, and the role of PolEval in fostering reproducible research and community-driven benchmarking."
}

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%0 Conference Proceedings
%T PolEval 2025
%A Kobyliński, Łukasz
%A Staruch, Ryszard
%A Wróblewska, Alina
%A Ogrodniczuk, Maciej
%Y Kobyliński, Łukasz
%Y Wróblewska, Alina
%Y Ogrodniczuk, Maciej
%S Proceedings of the PolEval 2025 Workshop
%D 2025
%8 November
%I Institute of Computer Science PAS and Association for Computational Linguistics
%C Warsaw
%F kobylinski-etal-2025-poleval
%X PolEval is an annual shared-task evaluation campaign dedicated to advancing natural language processing for the Polish language. This paper presents an overview of PolEval 2025, the eighth edition of the campaign, which included three completed tasks covering machine-generated text detection, gender-inclusive language generation, and speech emotion recognition. The evaluation was conducted using standardised datasets and metrics via the AmuEval platform. PolEval 2025 attracted 15 teams and over 100 submissions, demonstrating continued engagement from the Polish NLP community. We describe the organisation of the campaign, the evaluation setup, and the role of PolEval in fostering reproducible research and community-driven benchmarking.
%U https://aclanthology.org/2025.poleval-main.1/
%P 1-4

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Markdown (Informal)

[PolEval 2025](https://aclanthology.org/2025.poleval-main.1/) (Kobyliński et al., PolEval 2025)

PolEval 2025 (Kobyliński et al., PolEval 2025)

ACL

Łukasz Kobyliński, Ryszard Staruch, Alina Wróblewska, and Maciej Ogrodniczuk. 2025. PolEval 2025. In Proceedings of the PolEval 2025 Workshop, pages 1–4, Warsaw. Institute of Computer Science PAS and Association for Computational Linguistics.