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Jakub Simko

Jakub Simko has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Low-resource languages; often with Dominik Macko, Jan Cegin, Branislav Pecher.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 12 · 94 works · 501 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 56 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9587

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🤝Kempelen Institute of Intelligent TechnologiesBratislava · Slovakia2020–2026 · 39 papersEmployment since 2020 · Expert researcher, Web & User Data Processingcurrent🎓Slovak University of Technology in BratislavaBratislava · Slovakia2010–2020 · 33 papersEmployment 2013–2020 · assistant professor, Institute of Informatics, Information Systems and Software Engineering🎓Brno University of TechnologyBrno · Czechia2023–2025 · 7 papers🎓University of PittsburghPittsburgh · United States2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksComputer Science · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksSocial Sciences · 1 workSociology and Political Science · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksLow-resource languages · 2 worksMultilingual & cross-lingual NLP · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages (2025 · 11 citations)
    LLM-generated synthetic data is often used to train compact task models, but it is unclear which prompting strategies work best outside English, especially for under-resourced languages.
  2. Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification (2026 · 1 citation)
    The paper asks whether a large multilingual LLM is more useful for low-resource classification as a classifier or as a source of training data for smaller models.
  3. mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection (2026 · 1 citation)
    This paper describes a team's entry to SemEval-2026 Task 9 (POLAR), a shared task on spotting online polarization in 22 languages.
  4. mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code (2026)
    The paper addresses detecting machine-generated source code within SemEval-2026 Task 13. The task has three subtasks: binary human-vs-machine detection (A), attributing code to one of 10 LLM families or human authorship (B), and a four-way split into human, machine, hybrid and adversarial code (C). The authors adapt…

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetJan Cegin, Jakub Simko, Peter Brusilovsky2023 · 56 citations
  2. Authorship Obfuscation in Multilingual Machine-Generated Text Detection ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetDominik Macko et al.2024 · 24 citations
  3. A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Tatiana Anikina, Jan Cegin, Jakub Simko, et al.2025 · 11 citations
  4. Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual ClassificationFindings of the Association for Computational LinguisticsBranislav Pecher, Jan Cegin, Robert Belanec, et al.2026 · 1 citation
  5. mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization DetectionInternational Workshop on Semantic Evaluation (SemEval)Dominik Macko, Alok Debnath, Jakub Simko2026 · 1 citation
  6. mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated CodeInternational Workshop on Semantic Evaluation (SemEval)Adam Skurla, Dominik Macko, Jakub Simko2026

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 56 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

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