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Dominik Macko

Dominik Macko has 5 papers in our library, in 2025–2026, most of them on Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Jakub Kopál, Jakub Simko, Ivan Srba.

5 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 11 · 86 works · 371 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 55 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8449

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts (2025 · 28 citations)
    Most research on detecting machine-generated text (MGT) targets English and long, polished genres such as news or essays.
  2. mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection (2026 · 1 citation)
    This system description tackles subtask 2 of SemEval-2026 Task 10 (PsyCoMark). The task is to decide whether an English Reddit comment conveys belief in a conspiracy theory. The main obstacle is the modest labeled set of roughly 4,000 comments, which is small for finetuning large models. The author adapts mdok, a…
  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. CEAID: Benchmark of Multilingual Machine-Generated Text Detection Methods for Central European Languages (2026)
    Research on detecting machine-generated text (MGT) has focused mostly on English. Detectors for Central European languages therefore depend on uncertain cross-lingual transfer. The authors build the first benchmark for this region, CEAID. It covers seven languages and two domains: news articles from MULTITuDE_v3 and…
  5. 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

7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. 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
  2. A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetNafis Irtiza Tripto et al.2024 · 24 citations

 Co-authors here

3 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 55 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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