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LLMzSz{\L}: a comprehensive LLM benchmark for Polish

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arxiv 2501.02266 v1 pith:3LZRQ3IJ submitted 2025-01-04 cs.CL cs.AI

classification cs.CLcs.AI
keywords llmspolishbenchmarkcomprehensiveexamexaminationexamsllmzsz
verification ladder T0 review T1 audit T2 compute T3 formal
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This article introduces the first comprehensive benchmark for the Polish language at this scale: LLMzSz{\L} (LLMs Behind the School Desk). It is based on a coherent collection of Polish national exams, including both academic and professional tests extracted from the archives of the Polish Central Examination Board. It covers 4 types of exams, coming from 154 domains. Altogether, it consists of almost 19k closed-ended questions. We investigate the performance of open-source multilingual, English, and Polish LLMs to verify LLMs' abilities to transfer knowledge between languages. Also, the correlation between LLMs and humans at model accuracy and exam pass rate levels is examined. We show that multilingual LLMs can obtain superior results over monolingual ones; however, monolingual models may be beneficial when model size matters. Our analysis highlights the potential of LLMs in assisting with exam validation, particularly in identifying anomalies or errors in examination tasks.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. PL-Guard: Benchmarking Language Model Safety for Polish

    cs.CL 2025-06 reject novelty 6.0 of 10

    A small Polish BERT classifier proved more robust than larger fine-tuned LLMs at classifying safe versus unsafe Polish content, including under character-level adversarial perturbations.

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