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    <abstract>In this paper the winning solution of PolEval 2025 Task 2a is presented. The approach utilizes LoRA fine-tuning of the Qwen3-8B model. Multiple LoRA matrix ranks are explored. Versions with and without the system prompt in loss calculation are evaluated. New SOTA was established at F1=0.6039 beating the previously best model at F1=0.5985. After the task’s conclusion the solution was improved upon and F1=0.6283\pm0.0056 was achieved.</abstract>
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%0 Conference Proceedings
%T Less is More—Achieving SOTA at PolEval 2025 Task 2a: Gender-inclusive LLMs for Polish (Proofreading) with LoRA and Qwen3-8B
%A Majczyk, Adam
%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 majczyk-2025-less
%X In this paper the winning solution of PolEval 2025 Task 2a is presented. The approach utilizes LoRA fine-tuning of the Qwen3-8B model. Multiple LoRA matrix ranks are explored. Versions with and without the system prompt in loss calculation are evaluated. New SOTA was established at F1=0.6039 beating the previously best model at F1=0.5985. After the task’s conclusion the solution was improved upon and F1=0.6283\pm0.0056 was achieved.
%U https://aclanthology.org/2025.poleval-main.7/
%P 48-53

Markdown (Informal)

[Less is More—Achieving SOTA at PolEval 2025 Task 2a: Gender-inclusive LLMs for Polish (Proofreading) with LoRA and Qwen3-8B](https://aclanthology.org/2025.poleval-main.7/) (Majczyk, PolEval 2025)

• Less is More—Achieving SOTA at PolEval 2025 Task 2a: Gender-inclusive LLMs for Polish (Proofreading) with LoRA and Qwen3-8B (Majczyk, PolEval 2025)

ACL

• Adam Majczyk. 2025. Less is More—Achieving SOTA at PolEval 2025 Task 2a: Gender-inclusive LLMs for Polish (Proofreading) with LoRA and Qwen3-8B. In Proceedings of the PolEval 2025 Workshop, pages 48–53, Warsaw. Institute of Computer Science PAS and Association for Computational Linguistics.