mlsanityData to 14 Oct 2026

LLMzSzL: a comprehensive LLM benchmark for Polish

arXiv 2501.02266 ↗First posted 4 Jan 2025cs.CL cs.AIcited by 7

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Abstract (arXiv)

This article introduces the first comprehensive benchmark for the Polish language at this scale: LLMzSzL (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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 13 of its 21 references that are in the map. First posted on arXiv 4 Jan 2025.

Builds on

13 of 21 references.

References · 13

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  2. 2020Measuring Massive Multitask Language Understandingcited by 7,963
  3. 2018GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understandingcited by 4,899
  4. 2024Qwen2 Technical Reportcited by 2,120
  5. 2023WizardLM: Empowering large pre-trained language models to follow complex instructionscited by 1,125
  6. 2024Yi: Open Foundation Models by 01.AIcited by 719
  7. 2023Textbooks Are All You Need II: phi-1.5 technical reportcited by 565
  8. 2024MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialoguescited by 250
  9. 2024KMMLU: Measuring Massive Multitask Language Understanding in Koreancited by 91
  10. 2024TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkishcited by 32
  11. 2024Spanish and LLM Benchmarks: is MMLU Lost in Translation?cited by 20
  12. 2024GPT-4 passes most of the 297 written Polish Board Certification Examinationscited by 10
1 more
  1. 2024Polish-English medical knowledge transfer: A new benchmark and resultscited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 4.

7 papers.