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Department of Artificial Intelligence
← Representation Learning Group

Publications

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

Publications: 163

  1. Attention sinks as internal signals for hallucination detection in large language models

    Jakub Binkowski, Kamil Adamczewski, Tomasz Kajdanowicz

    Proceedings of the 43rd International Conference on Machine Learning, Seoul, South Korea, 6th-11th July 2026 · 2026

  2. 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

  3. FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs

    Albert K. Sawczyn, Jakub Binkowski, Denis P Janiak, Tomasz Kajdanowicz, Bogdan Gabrys

    EACL 2026 · 2026

  4. Initial study on cancer diagnosis using AI/NLP and expert system integration

    Mariusz Pelc, Tomasz Kajdanowicz, Aleksandra D Kawala-Sterniuk, Sławomir Stemplewski, Waldemar Bauer

    ICCS 2026 · 2026

  5. Beyond discrete search: divergent thinking as intention optimization in latent space

    Mateusz Bystroński, Grzegorz A Piotrowski, Tomasz Kajdanowicz

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

  6. Factual state discovery benchmark: evaluating fact elicitation in Polish tax law

    Mateusz Bystroński, Kamil Tagowski, Denis P Janiak, Julia Farganus, Łukasz M Augustyniak, Tomasz Kajdanowicz, Monika Kajdanowicz

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

  7. Continuous context sampling allows extending diversity boundaries of large language models

    Mateusz Bystroński, Nitesh Chawla, Tomasz Kajdanowicz, Doheon Han

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

  8. Braves-Cog: An integrated multimodal framework for biomarker-guided cognitive neuromodulation

    Karolina Fila-Pawłowska, Joanna K Budzisz, Magdalena Kasprowicz, Marta A Rusnak, Agnieszka Kazimierska, Agnieszka M Uryga, Aleksandra D Kawala-Sterniuk, Tomasz Kajdanowicz, Joanna A Rymaszewska

    2026 · 2026

  9. A geometry-based view of Mahalanobis OOD detection

    Denis P. Janiak, Jakub Binkowski, Tomasz Kajdanowicz

    Proceedings of the 43rd International Conference on Machine Learning, Seoul, South Korea, 6th-11th July 2026 · 2026

  10. Methods for multi-object representation learning in images and videos

    Piotr Zieliński

    2026

  11. Wykorzystanie sieci neuronowych w przetwarzaniu danych metabolomicznych opartych na spektroskopii NMR

    Natalia Herda, Mateusz Bystroński, Piotr Młynarz, Tomasz Kajdanowicz

    Chemik · 2026

  12. When will the tokens end? Graph-based forecasting for LLMs output length

    Grzegorz A. Piotrowski, Mateusz Bystroński, Mikołaj Hołysz, Jakub Binkowski, Grzegorz Chodak, Tomasz Kajdanowicz

    The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) · 2025

  13. Multimodal Machine Learning Analysis of fNIRS Signals Using LSTM and KNN Models for Cognitive States and Brain Activation Patterns Prediction

    Tomasz Kajdanowicz, Mariusz Pelc, Aleksandra D Kawala-Sterniuk, Adrian Luckiewicz, Dariusz Mikołajewski, Radosław Roszczyk, Krzysztof Siwek, Piotr Sterniuk, Edward Jacek Gorzelanczyk

    ACIIDS 2025 · 2025

  14. Implementation of convolutional neural networks for the purpose of five types of white blood cells automatic counting

    Tomasz Kajdanowicz, Aleksandra D Kawala-Sterniuk, Grzegorz Drałus, Damian Mazur, Konrad Łukiewicz, Michał Podpora, Jacek Bartman, Henryk Racheniuk

    ICCS 2025 · 2025

  15. 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

  16. The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs

    Denis P. Janiak, Jakub Binkowski, Albert K Sawczyn, Tomasz Kajdanowicz, Bogdan Gabrys, Ravid Shwartz-Ziv

    The 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, November 4-9 · 2025

  17. Hallucination Detection in LLMs Using Spectral Features of Attention Maps

    Jakub Binkowski, Denis P Janiak, Albert K Sawczyn, Tomasz Kajdanowicz, Bogdan Gabrys

    The 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, November 4-9 · 2025

  18. Identifying super spreaders in multilayer networks

    Michał Czuba, Stolarski, Mateusz, Adam Piróg, Piotr Bielak, Piotr Bródka, Mateusz Stolarski

    14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025) · 2025

  19. A multi-stage LLM framework for generating realistic synthetic medical datasets

    Mikołaj Hołysz, Mateusz Bystroński, Grzegorz A Piotrowski, Grzegorz Chodak, Tomasz Kajdanowicz

    Association for Information Systems · 2025

  20. Towards weight-space interpretation of Low-Rank Adapters for Diffusion Models

    Jacek J. Duszenko, Piotr Bielak

    ICCS 2025 · 2025