--- title: "Ivan Srba — author profile and papers — Elamur Research" description: "Ivan Srba, Kempelen Institute of Intelligent Technologies: 4 papers on Elamur Research (2025–2026), h-index 16 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/ivan-srba/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ivan-srba/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ivan Srba # Ivan Srba Ivan Srba has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Branislav Pecher](https://md.research.elamur.ai/free/en/authors/branislav-pecher/), [Maria Bielikova](https://md.research.elamur.ai/free/en/authors/maria-bielikova/), [Dominik Macko](https://md.research.elamur.ai/free/en/authors/dominik-macko/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5082763244) · [ORCID](https://orcid.org/0000-0003-3511-5337) · [**h-index 16**](https://openalex.org/authors/A5082763244) · [110 works](https://openalex.org/works?filter=author.id:A5082763244) · [984 citations](https://openalex.org/works?filter=author.id:A5082763244&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/ivan-srba/#papers) · [🔗 Cited 73 times in our library](https://md.research.elamur.ai/free/en/authors/ivan-srba/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7371](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7371) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ivan+Srba) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ivan+Srba) · [dblp](https://dblp.org/search?q=Ivan+Srba) · [ACL Anthology](https://aclanthology.org/search/?q=Ivan+Srba) ## Affiliations [🤝**Kempelen Institute of Intelligent Technologies** Bratislava · Slovakia 2020–2026 · 65 papersEmployment since 2020*current*](https://md.research.elamur.ai/free/en/ngos/kempelen-institute-of-intelligent-technologies/) · [🎓**Brno University of Technology** Brno · Czechia 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/brno-university-of-technology/) · [🎓**Slovak University of Technology in Bratislava** Bratislava · Slovakia 2010–2021 · 23 papersEmployment 2016–2020](https://ror.org/0561ghm58) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ivan-srba/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/ivan-srba/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts](https://md.research.elamur.ai/free/en/papers/macko-2025-multisocial-multilingual-benchmark-machine-generated/)** *(2025 · 28 citations)* Most research on detecting machine-generated text (MGT) targets English and long, polished genres such as news or essays. 2. **[Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance](https://md.research.elamur.ai/free/en/papers/pecher-2025-comparing-specialised-small-general-large/)** *(2025 · 24 citations)* The paper asks how much labelled data a small, task-specialised language model needs before it beats a large general-purpose model used without parameter updates. 3. **[Automatic Combination of Sample Selection Strategies for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/pecher-2026-automatic-combination-sample-selection-strategies/)** *(2026 · 15 citations)* Picking which labelled examples to use strongly affects few-shot performance. Methods for large language models tend to rely on selectors built for specific in-context learning setups and overlook classic strategies from supervised learning, such as active learning and core-set methods. The authors propose ACSESS… 4. **[Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification](https://md.research.elamur.ai/free/en/papers/pecher-2026-better-as-generators-than-classifiers/)** *(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. ## 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. **[MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts](https://md.research.elamur.ai/free/en/papers/macko-2025-multisocial-multilingual-benchmark-machine-generated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dominik Macko, Jakub Kopál, Robert Moro, et al.*2025 · 28 citations* 2. **[Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance](https://md.research.elamur.ai/free/en/papers/pecher-2025-comparing-specialised-small-general-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Branislav Pecher, Ivan Srba, Maria Bielikova*2025 · 24 citations* 3. **[Authorship Obfuscation in Multilingual Machine-Generated Text Detection ↗](https://aclanthology.org/2024.findings-emnlp.369/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Dominik Macko et al.*2024 · 24 citations* 4. **[A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts ↗](https://aclanthology.org/2024.acl-long.357/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Nafis Irtiza Tripto et al.*2024 · 24 citations* 5. **[Automatic Combination of Sample Selection Strategies for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/pecher-2026-automatic-combination-sample-selection-strategies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Branislav Pecher, Ivan Srba, Maria Bielikova, et al.*2026 · 15 citations* 6. **[Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification](https://md.research.elamur.ai/free/en/papers/pecher-2026-better-as-generators-than-classifiers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Branislav Pecher, Jan Cegin, Robert Belanec, et al.*2026 · 1 citation* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Branislav Pecher](https://md.research.elamur.ai/free/en/authors/branislav-pecher/) ×3 - [Maria Bielikova](https://md.research.elamur.ai/free/en/authors/maria-bielikova/) ×3 - [Dominik Macko](https://md.research.elamur.ai/free/en/authors/dominik-macko/) - [Jakub Kopál](https://md.research.elamur.ai/free/en/authors/jakub-kopal/) - [Jakub Simko](https://md.research.elamur.ai/free/en/authors/jakub-simko/) - [Jan Cegin](https://md.research.elamur.ai/free/en/authors/jan-cegin/) - [Joaquin Vanschoren](https://md.research.elamur.ai/free/en/authors/joaquin-vanschoren/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - Findings of the Association for Computational Linguistics: EMNLP 2024 ## Cited by Papers of our library cite their works 73 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ivan-srba/cited-by/). Updated 1 November 2026