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    <abstract>This paper presents the results of the PolEval 2025 shared task on gender-inclusive large language models for Polish. The primary goal of this task is to encourage the development of models capable of generating grammatically well-formed, contextually appropriate, and gender-inclusive output — a property of increasing importance in both human-centred NLP and NLG applications. To support this objective, we employed the newly developed Inclusive Polish Instruction Set (IPIS), a high-quality, human-annotated resource designed to guide models toward gender-inclusive behaviour. The shared task comprised two subtasks: gender-inclusive proofreading, which evaluates the ability of a model to transform masculine-generic Polish text into an inclusive equivalent, and gender-sensitive Polish-English translation, which investigates gender marking across languages. A total of six system submissions were received — three for each subtask. The evaluation demonstrates that the top-performing gender-inclusive systems outperform both the baseline and state-of-the-art models. These findings highlight the effectiveness of IPIS-tuned approaches and establish strong benchmarks for future research on gender inclusivity in Polish NLP.</abstract>
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%0 Conference Proceedings
%T PolEval 2025 Task 2: Gender-inclusive LLMs for Polish
%A Wróblewska, Alina
%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 wroblewska-2025-poleval
%X This paper presents the results of the PolEval 2025 shared task on gender-inclusive large language models for Polish. The primary goal of this task is to encourage the development of models capable of generating grammatically well-formed, contextually appropriate, and gender-inclusive output — a property of increasing importance in both human-centred NLP and NLG applications. To support this objective, we employed the newly developed Inclusive Polish Instruction Set (IPIS), a high-quality, human-annotated resource designed to guide models toward gender-inclusive behaviour. The shared task comprised two subtasks: gender-inclusive proofreading, which evaluates the ability of a model to transform masculine-generic Polish text into an inclusive equivalent, and gender-sensitive Polish-English translation, which investigates gender marking across languages. A total of six system submissions were received — three for each subtask. The evaluation demonstrates that the top-performing gender-inclusive systems outperform both the baseline and state-of-the-art models. These findings highlight the effectiveness of IPIS-tuned approaches and establish strong benchmarks for future research on gender inclusivity in Polish NLP.
%U https://aclanthology.org/2025.poleval-main.6/
%P 39-47

Markdown (Informal)

[PolEval 2025 Task 2: Gender-inclusive LLMs for Polish](https://aclanthology.org/2025.poleval-main.6/) (Wróblewska, PolEval 2025)

• PolEval 2025 Task 2: Gender-inclusive LLMs for Polish (Wróblewska, PolEval 2025)

ACL

• Alina Wróblewska. 2025. PolEval 2025 Task 2: Gender-inclusive LLMs for Polish. In Proceedings of the PolEval 2025 Workshop, pages 39–47, Warsaw. Institute of Computer Science PAS and Association for Computational Linguistics.