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Katedra Sztucznej Inteligencji
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Publikacje

Publikacje przypisane do grupy oraz publiczne publikacje potwierdzone w dorobku jej obecnych członków.

Liczba publikacji: 353

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

    Karolina Nowacka, Bartłomiej Koptyra, Jan Kocoń

    ICCCI 2026 · 2027

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

    Teddy Ferdinan, Jan Kocoń, Przemysław Kazienko

    ICCCI 2026 · 2027

  3. 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

  4. 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

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

    Julia A. Moska, Maciej Piasecki, Arkadiusz Janz

    ICCS 2026 · 2026

  6. 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

  7. 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

  8. 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

  9. 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

  10. The CLARIN infrastructure as an interoperable language technology platform for SSH and beyond

    Maciej Piasecki, António Branco, Maria Eskevich, S Frontini, J Hajič, E Hinrichs, F De Jong, P Kamocki, A König, K Lindén, C Navarretta, Stelios Piperidis, O Pitkänen, K Simov, I Skadiņa, T Trippel, A Witt, C Zinn

    Language Resources and Evaluation · 2025

  11. CLARIN‑PL: a user centred language technology infrastructure

    Maciej Piasecki, Agnieszka Dziob-Zadworna, Arkadiusz Janz, Jan Kocoń, Tomasz Naskręt, Marcin Ł Oleksy, Ewa K Rudnicka, Tomasz Walkowiak, Jan A Wieczorek, Krzysztof Hwaszcz

    Language Resources and Evaluation · 2025

  12. Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability

    Anh Ngo, Jan Kocoń

    Information Fusion · 2025

  13. CiteVerifier: how good are citation verifiers and how to use them?

    Konrad D. Wojtasik, Tymoteusz Dolega, Maciej Piasecki

    ICCS 2025 · 2025

  14. Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification

    Łukasz Radliński, Mateusz Guściora, Jan Kocoń

    ICCS 2025 · 2025

  15. LLMSQL: Upgrading WikiSQL for the LLM Era of text-to-SQL

    Dzmitry Pihulski, Karol Charchut, Viktoria Novogrodskaia, Jan Kocoń

    25th IEEE International Conference on Data Mining Workshops, ICDMW 2025, 12-15 November 2025, Washington, DC, USA · 2025

  16. Typology of image crises using large language models: a novel approach to crisis classification

    Grzegorz Chodak, Aleksander P Szczęsny, Przemysław Kazienko, Oliwier Kaszyca, Marcin Ł Oleksy, Mateusz Kochanek, Dominika Szydło, Igor Cichecki, Wiktoria M Mieleszczenko-Kowszewicz, Ewa Dzięcioł, Tomasz Kajdanowicz, Maciej Piasecki, Jan Kocoń, Dariusz Tworzydło, Kajetan Bilski, Kaja Matuszak, Przemysław Palacz

    Journal of Contingencies and Crisis Management · 2025

  17. AggTruth: contextual hallucination detection using aggregated attention scores in LLMs

    Piotr J. Matys, Jan K Eliasz, Konrad M Kiełczyński, Mikołaj Langner, Teddy Ferdinan, Jan Kocoń, Przemysław Kazienko

    ICCS 2025 · 2025

  18. Improving LLM-Based Recommender Systems with User-Controllable Profiles

    Stanisław J. Woźniak, Jacek J Duszenko, Jan Kocoń, Przemysław Kazienko

    2025

  19. plWordNet 5.0 – challenges of a life-long wordnet development process

    Ewa K. Rudnicka, Bartłomiej A Alberski, Maciej Piasecki

    Proceedings of the 13th Global Wordnet Conference, GWC 2025, 27-31 Jan, University of Pavia, Italy · 2025

  20. Predicting stock prices with ChatGPT-annotated Reddit sentiment: hype or reality?

    Mateusz Kmak, Kamil Chmurzyński, Kamil Matejuk, Paweł Kotzbach, Jan Kocoń

    ICCS 2025 · 2025