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        <title>Lightweight IPIS Instruction Tuning of Bielik-7B for Gender-Inclusive Polish\ensuremath&lt;—\ensuremath&gt;English Translation: System Description for PolEval 2025 Task 2 (IPIS-translation)</title>
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            <title>Proceedings of the PolEval 2025 Workshop</title>
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            <namePart type="given">Alina</namePart>
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            <namePart type="given">Maciej</namePart>
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    <abstract>We describe a compact but fully open-source system submitted to PolEval 2025 Task 2 (Gender-inclusive LLMs for Polish), subtask B: IPIS-translation. The goal of this subtask is gender-sensitive Polish\ensuremathłeftrightarrowEnglish translation, including the production of gender-inclusive Polish outputs that follow specific orthographic conventions such as gender stars and slash forms. Our method performs instruction tuning of the Polish LLM Bielik-7B-Instruct using parameter-efficient LoRA adapters, with optional 4-bit NF4 quantization for single-GPU training. Samples from the Inclusive Polish Instruction Set (IPIS) are converted into a chat-style format with a task-provided gender-inclusive system prompt. Despite a deliberately lightweight tuning budget and greedy decoding, our submission placed 3rd on the hidden test B split, achieving bleu_pe = 20.7871. We detail the training and inference pipeline, discuss design choices and limitations, and outline directions for improving inclusive translation quality in Polish.</abstract>
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        <url>https://aclanthology.org/2025.poleval-main.10/</url>
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%0 Conference Proceedings
%T Lightweight IPIS Instruction Tuning of Bielik-7B for Gender-Inclusive Polish\ensuremath<—\ensuremath>English Translation: System Description for PolEval 2025 Task 2 (IPIS-translation)
%A Czajka, Mateusz
%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 czajka-2025-lightweight
%X We describe a compact but fully open-source system submitted to PolEval 2025 Task 2 (Gender-inclusive LLMs for Polish), subtask B: IPIS-translation. The goal of this subtask is gender-sensitive Polish\ensuremathłeftrightarrowEnglish translation, including the production of gender-inclusive Polish outputs that follow specific orthographic conventions such as gender stars and slash forms. Our method performs instruction tuning of the Polish LLM Bielik-7B-Instruct using parameter-efficient LoRA adapters, with optional 4-bit NF4 quantization for single-GPU training. Samples from the Inclusive Polish Instruction Set (IPIS) are converted into a chat-style format with a task-provided gender-inclusive system prompt. Despite a deliberately lightweight tuning budget and greedy decoding, our submission placed 3rd on the hidden test B split, achieving bleu_pe = 20.7871. We detail the training and inference pipeline, discuss design choices and limitations, and outline directions for improving inclusive translation quality in Polish.
%U https://aclanthology.org/2025.poleval-main.10/
%P 66-71

Markdown (Informal)

[Lightweight IPIS Instruction Tuning of Bielik-7B for Gender-Inclusive Polish<—>English Translation: System Description for PolEval 2025 Task 2 (IPIS-translation)](https://aclanthology.org/2025.poleval-main.10/) (Czajka, PolEval 2025)

• Lightweight IPIS Instruction Tuning of Bielik-7B for Gender-Inclusive Polish<—>English Translation: System Description for PolEval 2025 Task 2 (IPIS-translation) (Czajka, PolEval 2025)

ACL

• Mateusz Czajka. 2025. Lightweight IPIS Instruction Tuning of Bielik-7B for Gender-Inclusive Polish<—>English Translation: System Description for PolEval 2025 Task 2 (IPIS-translation). In Proceedings of the PolEval 2025 Workshop, pages 66–71, Warsaw. Institute of Computer Science PAS and Association for Computational Linguistics.