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Arkadiusz Modzelewski

Arkadiusz Modzelewski has 4 papers in our library, in 2026, most of them on Evaluation & benchmarks; often with Adam Wierzbicki, Giovanni Da San Martino, Witold Sosnowski.

4 papers in our library · 2026

OpenAlex · ORCID · h-index 4 · 27 works · 25 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11045

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

🎓Polish-Japanese Academy of Information TechnologyWarsaw · Poland2022–2026 · 15 papersEducation since 2022 · PhD Student in Artificial Intelligencecurrent🎓University of PaduaPadua · Italy2023–2026 · 13 papersEducation since 2023 · PhD Student in Brain, Mind & Computer Sciencecurrent🔬NASK National Research InstituteWarsaw · Poland2026 · 1 paperEmployment since 2026 · Senior NLP Specialist, NLPcurrent🎓University of BonnBonn · Germany2018–2020Education 2018–2020 · M.Sc. in Economics, Department of Economics🎓SGH Warsaw School of EconomicsWarsaw · Poland2015–2018Education 2015–2018 · B.Sc. in Quantitative Methods in Economics🎓Warsaw University of TechnologyWarsaw · Poland2013–2018Education 2013–2018 · B.Sc. in Computer Science

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksSocial Sciences · 4 worksArtificial Intelligence · 4 worksInformation Systems · 3 worksSociology and Political Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksGeneral Social Sciences · 1 workPhilosophy · 1 work

🧭 Topics 1Research subjects and languages the work is about.Evaluation & benchmarks · 1 work

 Works by year

2020s

20264 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection (2026 · 2 citations)
    Most English disinformation resources only mark whether content is false. They ignore the motive behind it, even though intent is central to how disinformation is defined. The authors fill this gap with MALINT, an English corpus of online news articles labelled for credibility and for the malicious goals of…
  2. A Corpus of Persuasion Techniques in Slavic Languages (2026)
    Resources for detecting persuasion techniques in Slavic languages are scarce, especially outside news media.
  3. Can AI-Generated Persuasion Be Detected? Persuaficial Benchmark and AI vs. Human Linguistic Differences (2026)
    Large language models can write convincing persuasive text, which raises the risk of automated propaganda and manipulation. The authors ask two questions. First, is LLM-written persuasion harder for zero-shot LLM detectors to recognise than persuasion written by people? Second, how do the two differ linguistically?
  4. DiNO: Disinformation Narrative Observer (2026)
    The paper asks how to recover the disinformation narratives that a specific news outlet spreads. Narratives here are broad recurring messages built from many related false claims. The authors propose DiNO, a four-stage pipeline:

 Co-authors here

9 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 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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