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Department of Artificial Intelligence
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Publications

Publications assigned to this group and public publications confirmed in the research records of its current members.

Publications: 787

  1. Persona-guided sentiment analysis of medical reviews with encoder and large language models

    Karolina Nowacka, Bartłomiej Koptyra, Jan Kocoń

    ICCCI 2026 · 2027

  2. Towards personalized language models: significant advancements at the cost of emerging risks

    Mateusz Gniewkowski, Paweł T Walkowiak, Marek Klonowski, Tomasz Walkowiak, Piotr Syga

    European Conference, ECML PKDD 2026, Naples, Italy, September 7-11, Proceedings, Part VII · 2027

  3. How annotation trains annotators: competence development in social influence recognition

    Maciej M. Markiewicz, Beata Bajcar, Wiktoria M Mieleszczenko-Kowszewicz, Aleksander P Szczęsny, Tomasz Adamczyk, Grzegorz Chodak, Jolanta Babiak, Przemysław Kazienko, Karolina Ostrowska, Aleksandra Sawczuk, Jagoda Szklarczyk

    AIED 2026 · 2027

  4. HalluBrainScan: model-agnostic reference-free activation-based LLM hallucination detection

    Teddy Ferdinan, Jan Kocoń, Przemysław Kazienko

    ICCCI 2026 · 2027

  5. Sociodemographic biases in educational counselling by large language models

    Tomasz Adamczyk, Wiktoria M Mieleszczenko-Kowszewicz, Beata Bajcar, Grzegorz Chodak, Aleksander P Szczęsny, Maciej M Markiewicz, Przemysław Kazienko, Karolina Ostrowska, Aleksandra Sawczuk

    AIED 2026 · 2027

  6. Exploring the commercial trajectories of LLMS: business models and advertising perspectives

    Grzegorz Chodak, Przemysław Kazienko, Wiktoria M Mieleszczenko-Kowszewicz, Erik Cambria

    IEEE Intelligent Systems · 2026

  7. SoFAIR dataset -a multidisciplinary dataset of research papers annotated with software mentions

    Ewa K Rudnicka, Marcin Ł Oleksy, Cezary Rosiński, David Pride, Alain Monteil, Luca Foppiano, Martin Dočekal, Matteo Cancellieri, Samuel Scalbert, Laurent Romary, Tomasz Umerle, Petr Knoth

    Scientific Data 1-15 · 2026

  8. Guidelines for the selection, calibration, and evaluation of post-hoc OOD detectors in high-dimensional representations generated by CNN and ViT models in image recognition

    Szymon T. Datko, Kamil A Szyc, Tomasz Walkowiak, Henryk Maciejewski

    Expert Systems with Applications · 2026

  9. Rethinking the Evaluation of Alignment Methods: Insights into Diversity, Generalisation, and Safety

    Denis P. Janiak, Julia A Moska, Dawid Motyka, Paweł T Walkowiak, Arkadiusz Janz, Karolina Seweryn, Bartosz Żuk

    The 19th Conference of the European Chapter of the Association for Computational Linguistics · 2026

  10. Dependable Computer Systems: Methods, Models, and Applications : Proceedings of the Twenty First International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 29 – July 2, 2026, Brunów, Poland

    Wojciech Zamojski, Jacek Mazurkiewicz, Jarosław Sugier, Tomasz Walkowiak, Janusz Kacprzyk

    Lecture Notes in Networks and Systems · 2026

  11. Breaking the illusion of reasoning in Polish LLMs: quality over quantity of thought

    Dzmitry Pihulski, Mikołaj Langner, Jan Eliasz, Przemyslaw Kazienko, Jan Kocoń, Teddy Ferdinan, T Ferdinan

    EACL 2026 · 2026

  12. Think like a researcher: A dataset for scientific ideation with large language models

    Julia A. Moska, Maciej Piasecki, Arkadiusz Janz

    ICCS 2026 · 2026

  13. Transition from the attention economy to the relationship economy in the age of large language models

    Wiktoria M. Mieleszczenko-Kowszewicz, Grzegorz Chodak, Przemysław Kazienko, Erik Cambria

    IEEE Intelligent Systems · 2026

  14. Using LLMs to generate auditable pipeline specifications for risk-tier assignment from HTTP server logs

    Grzegorz Chodak, Grażyna Suchacka, Jacek Iwański

    ECMS 2026 · 2026

  15. Classification of literary epochs by TF-IDF, transformers, and large language models

    Tomasz Walkowiak

    ICAISC 2025 · 2026

  16. Sycophantic anchors: localizing and quantifying user agreement in reasoning models

    Jacek J. Duszenko, Przemysław Kazienko, Jan Kocoń

    The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) · 2026

  17. Artificial intelligence overload: a multilevel taxonomy and the path forward

    Przemysław Kazienko, Wiktoria M Mieleszczenko-Kowszewicz, Jan Kocoń, Beata Bajcar, Julian Sienkiewicz, Janusz A Hołyst, Philipp Mayr, Ingo Frommholz, Erik Cambria

    IEEE Intelligent Systems · 2026

  18. Exploring the future of psychometrics from a Large Language Model perspective: A case study analysis

    Wiktoria M. Mieleszczenko-Kowszewicz, Julita Bielaniewicz, Jan Kocoń, Przemysław Kazienko, Kamil Kanclerz

    Computers in Human Behavior Reports · 2026

  19. What properties of reasoning supervision are associated with improved downstream model quality?

    Mikołaj Langner, Dzmitry Pihulski, Jan K Eliasz, Michał Rajkowski, Przemysław Kazienko, Maciej Piasecki, Jan Kocoń, Teddy Ferdinan

    ICCS 2026 · 2026

  20. From detection to explanation: Modeling fine-grained emotional social influence techniques with LLMs and human preferences

    Maciej M. Markiewicz, Wiktoria M Mieleszczenko-Kowszewicz, Beata Bajcar, Tomasz Adamczyk, Aleksander P Szczęsny, Jolanta Babiak, Przemysław Kazienko

    The 19th Conference of the European Chapter of the Association for Computational Linguistics · 2026