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Przemyslaw Kazienko

Przemyslaw Kazienko has 2 papers in our library, in 2026, most of them on Language models & pretraining, Sentiment & emotion, Reasoning; often with Jan Kocon.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 36 · 309 works · 5,947 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 375 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #12029

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

🎓Wrocław University of Science and TechnologyWroclaw · Poland2003–2026 · 273 papersEducationEmploymentcurrent🎓University of WrocławWroclaw · Poland2006–2020 · 4 papers🏢BT GroupLondon · United Kingdom2009–2011 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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 · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workExperimental and Cognitive Psychology · 1 workPhysics and Astronomy · 1 workPsychology · 1 workStatistical and Nonlinear Physics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Sentiment & emotion · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Breaking the Illusion of Reasoning in Polish LLMs: Quality over Quantity of Thought (2026 · 3 citations)
    It remains unclear why explicit reasoning helps LLMs. One explanation is the content of the reasoning traces. Another is simply the extra tokens of computation. The authors separate these two factors in a Polish setting. They machine-translated about 32K samples of Mixture-of-Thoughts into Polish with…
  2. From Detection to Explanation: Modeling Fine-Grained Emotional Social Influence Techniques with LLMs and Human Preferences (2026 · 1 citation)
    LLMs increasingly shape opinions, and emotional pressure such as guilt, fear or excitement can steer people without their noticing.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. RWKV: Reinventing RNNs for the Transformer Era ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetBo Peng et al.2023 · 632 citations
  2. Breaking the Illusion of Reasoning in Polish LLMs: Quality over Quantity of ThoughtFindings of the Association for Computational LinguisticsDzmitry Pihulski, Mikołaj Langner, Jan Eliasz, et al.2026 · 3 citations
  3. From Detection to Explanation: Modeling Fine-Grained Emotional Social Influence Techniques with LLMs and Human PreferencesConference of the European Chapter of the Association for Computational Linguistics (EACL)Maciej Markiewicz, Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, et al.2026 · 1 citation

 Co-authors here

1 co-author 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 375 times (of the 149,439 papers whose bibliographies we read); 85 citing papers with a page here →.

Updated

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