| Selected publications |
|---|
| 1 | Referat konferencyjny 2025
Denis P Janiak, Jakub Binkowski, Albert K Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz,| The illusion of progress: re-evaluating hallucination detection in LLMs. W: The 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, November 4-9, 2025 : Proceedings of the Conference / eds. Christos Christodoulopoulos [i in.]. Stroudsburg : Association for Computational Linguistics, cop. 2025. s. 34717–34734. ISBN: 979-8-89176-332-6 | | Zasoby:URL |  |
|
| 2 | Referat konferencyjny 2025
Jakub Binkowski, Denis P Janiak, Albert K Sawczyn, Bogdan Gabrys, Tomasz Kajdanowicz,| Hallucination detection in LLMs using spectral features of attention maps. W: The 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, November 4-9, 2025 : Proceedings of the Conference / eds. Christos Christodoulopoulos [i in.]. Stroudsburg : Association for Computational Linguistics, cop. 2025. s. 24366–24397. ISBN: 979-8-89176-332-6 | | Zasoby:URL | |
|
| 3 | Referat konferencyjny 2025
Grzegorz A Piotrowski, Mateusz Bystroński, Mikołaj Hołysz, Jakub Binkowski, Grzegorz Chodak, Tomasz Kajdanowicz,| When will the tokens end? Graph-based forecasting for LLMs output length. W: The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Proceedings of the Conference - Vol 4: Student Research Workshop, July 28-29, 2025, Vienna, Austria / eds. Jin Zhao, Mingyang Wang, Zhu Liu. Kerrville, TX : Association for Computational Linguistics, cop. 2025. s. 843-848. ISBN: 979-8-89176-254-1 | | Zasoby:DOIURL | |
|
| 4 | Referat konferencyjny 2025
Konrad Łukiewicz, Michał Podpora, Grzegorz Drałus, Damian Mazur, Jakub Drałus, Tomasz Kajdanowicz, Aleksandra D Kawala-Sterniuk,| Decision trees and machine learning for cybersecurity: how model settings affect attack detection. W: Computational Science - ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7-9, 2025 : Proceedings. Pt. 1 / eds. Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. Cham : Springer Nature Switzerland AG, cop. 2025. s. 44-59. ISBN: 978-3-031-97553-0; 978-3-031-97554-7 | | Zasoby:DOIURLSFX | |
|
| 5 | Referat konferencyjny 2025
Grzegorz Drałus, Damian Mazur, Konrad Łukiewicz, Michał Podpora, Jacek Bartman, Henryk Racheniuk, Tomasz Kajdanowicz, Aleksandra D Kawala-Sterniuk,| Implementation of convolutional neural networks for the purpose of five types of white blood cells automatic counting. W: Computational Science - ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7-9, 2025 : Proceedings. Pt. 1 / eds. Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. Cham : Springer Nature Switzerland AG, cop. 2025. s. 395-410. ISBN: 978-3-031-97553-0; 978-3-031-97554-7 | | Zasoby:DOIURLSFX | |
|
| 6 | Referat konferencyjny 2025
Mikołaj Hołysz, Mateusz Bystroński, Grzegorz A Piotrowski, Grzegorz Chodak, Tomasz Kajdanowicz,| A multi-stage LLM framework for generating realistic synthetic medical datasets. [Atlanta : Association for Information Systems, 2025]. s. 1-5. | | Zasoby:URLSFX | |
|
| 7 | Referat konferencyjny 2025
Adrian Luckiewicz, Dariusz Mikołajewski, Radosław Roszczyk, Krzysztof Siwek, Tomasz Kajdanowicz, Mariusz Pelc, Piotr Sterniuk, Edward Jacek Gorzelanczyk, Aleksandra D Kawala-Sterniuk,| Multimodal machine learning analysis of fNIRS signals using LSTM and KNN models for cognitive states and brain activation patterns prediction. W: Recent Challenges in Intelligent Information and Database Systems : 17th Asian Conference, ACIIDS 2025 : Kitakyushu, Japan, April 23-25, 2025 : Proceedings. Pt. 3 / eds. Ngoc Thanh Nguyen [i in.]. Singapore : Springer Nature Singapore, cop. 2025. s. 275-288. ISBN: 978-981-96-5887-9; 978-981-96-5886-2 | | Zasoby:DOIURLSFX | |
|
| 8 | Artykuł 2025
Grzegorz Chodak, Dariusz Tworzydło, Aleksander P Szczęsny, Przemysław Kazienko, Oliwier Kaszyca, Kajetan Bilski, Marcin Ł Oleksy, Mateusz Kochanek, Dominika Szydło, Igor Cichecki, Kaja Matuszak, Wiktoria M Mieleszczenko-Kowszewicz, Ewa Dzięcioł, Przemysław Palacz, Tomasz Kajdanowicz, Maciej Piasecki, Jan Kocoń,| Typology of image crises using large language models: a novel approach to crisis classification. Journal of Contingencies and Crisis Management. 2025, vol. 33, nr 4, art. e70092, s. 1-20. ISSN: 1468-5973; 0966-0879 | | Zasoby:DOIURLSFX |    |
|
| 9 | Artykuł 2024
Bartosz Marcinkowski, Maja Goschorska, Natalia Wileńska, Jakub Siuta, Tomasz Kajdanowicz,| MIRAD: A Method for interpretable ransomware attack detection. IEEE Access. 2024, vol. 12, s. 133810-133820. ISSN: 2169-3536 | | Zasoby:DOISFX | |
|
| 10 | Referat konferencyjny 2024
Albert K Sawczyn, Katsiaryna Viarenich, Konrad D Wojtasik, Aleksandra Domogała, Marcin Ł Oleksy, Maciej Piasecki, Tomasz Kajdanowicz,| Developing PUGG for Polish: A modern approach to KBQA, MRC, and IR dataset construction. W: 62st Annual Meeting of the Association for Computational Linguistics, ACL 2024 : Proceedings of the Conference, August 11-16, 2024. Stroudsburg : Association for Computational Linguistics, cop. 2024. s. 10978-10996. ISBN: 979-8-89176-099-8 | | Zasoby:URL | |
|
| 11 | Referat konferencyjny 2024
Piotr Bielak, Tomasz Kajdanowicz,| Representation learning in multiplex graphs: Where and how to fuse information?. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : proceedings. Pt. 6 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 3-18. ISBN: 978-3-031-63777-3; 978-3-031-63778-0 | | Zasoby:DOIURLSFX | |
|