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  1. OsobaAlbert SawczynDoktorant · Centrum Zastosowań Sztucznej Inteligencji · Grupa Uczenia Reprezentacji · Albert graduated in BSc in Computer Science and MSc in Data Science, both from Wroclaw University of Science and Technology. He became passionate about general Artificial Intelligence as he started learning programming in a high school. His past developed and deployed projects are both scientific and commercial.…
  2. Osobadr inż. Kamil TagowskiAdiunkt badawczy · Centrum Zastosowań Sztucznej Inteligencji · Grupa Uczenia Reprezentacji · Machine Learning enthusiast, a Ph.D. student with five years of experience in the field. Co-author of machine learning publications concerning graph representation learning field and natural language processing. 😊 Eager to deploy machine-learning techniques for real-world problems regarding textual,…
  3. Grupa badawczaG4.19Technologie językowe i narzędzia NLP dla badań oraz zastosowań praktycznych. · Maciej Piasecki · Grupa obejmuje kompetencje z zakresu przetwarzania języka naturalnego, zasobów językowych, wyszukiwania informacji, odpowiadania na pytania i narzędzi wspierających pracę badawczą. · NLP Polish language processing language resources text analysis information retrieval question answering research NLP…
  4. OsobaJakub BinkowskiDoktorant · Centrum Zastosowań Sztucznej Inteligencji · Grupa Uczenia Reprezentacji · Jakub holds BSc and MSc in Computer Science and graduated from Wroclaw University of Science and Technology. His interest in machine learning and artificial intelligence starts in the early year of his studies. He has experience in scientific and commercial projects. During his career, he developed and deployed…
  5. OsobaJan JakubikAsystent · Biomedical.ai · Research/education assistant, PhD Student, interested in applications of machine learning to music and audio analysis. Other research interest include methods of learning with insufficient labels, such as semi-supervised and weakly supervised learning. He participated in R&D projects regarding the use of ML to analyse music for videogame content creation and…
  6. OsobaJan KocońAdiunkt · CLARIN-PL · HumaNLP · G4.19 · Jan Kocoń is an Assistant Professor at the Wroclaw University of Science and Technology, where he received a Ph.D. degree in computer science (2018) and an MSc. Eng. degree (2012). He is also AI/ML Team Leader and Senior ML/NLP Data Scientist in the CLARIN-BIZ project. He has worked on natural language processing (NLP) for over a decade, especially using…
  7. OsobaKamil KanclerzDoktorant · Kamil Kanclerz has been involved in research in the field of natural language analysis at the Wrocław University of Technology since 2019. He specializes in natural language processing in the following areas: sentiment analysis, information extraction, transfer learning, document embeddings, grammatical error correction and multiword expression recognition. He participated in many…
  8. OsobaMaciej PiaseckiProfesor uczelni · CLARIN-PL · G4.19 · Professor Maciej Piasecki is a researcher specializing in computational linguistics, natural language processing, and machine learning. His work focuses on areas such as the development of linguistic resources, semantic networks, Large Language Models, and applications of AI in text analysis. He has contributed significantly to advancing methods for…
  9. OsobaMarcin PlataAdiunkt · Marcin Plata is a researcher specializing in computational linguistics, natural language processing, and machine learning. His work focuses on areas such as the development of linguistic resources, semantic networks, Large Language Models, and applications of AI in text analysis. He has contributed significantly to advancing methods for analyzing and processing Polish language data…
  10. OsobaPiotr GramackiDoktorant · Kraina · Piotr is a PhD student working on Geospatial task-solving with the help of Large Language Models (LLMs). Apart from that, he is interested in representation learning from geospatial data and natural language processing. He is a member of the Kraina.AI research group, where he works with spatial data and urban-related tasks, and develops an open-source library for geospatial…
  11. OsobaPiotr SzymańskiAdiunkt · Kraina · Piotr Szymański is an assistant Professor at the Department of Artificial Intelligence at the Wrocław University of Science and Technology and a Machine Learning Engineer at Avaya. Professionally involved in data analysis, statistical reasoning, geospatial data science, natural language processing, machine learning and artificial intelligence techniques. He is an alumni of the…
  12. OsobaStanisław MarkowskiDoktorant · nlp xai mechanistic interpretability rag · CLARIN-PL · After several years of experience in commercial IT, Stanisław joined the Department in 2025 as a technical staff member of the CLARIN-PL consortium. In this role, he contributed to both academic and commercial projects. A year later, he began his PhD studies in natural language processing. His research interests include the…
  13. PublikacjaDeep learning approaches for natural language processingAleksandra D Kawala-Sterniuk, Aleksandra Świetlicka, Dariusz Mikołajewski · Electronics. 2026, vol. 15, nr 14, art. 3177, s. 1-4.
  14. PublikacjaPLLuM-Align: Polish Preference Dataset for Large Language Model AlignmentJulia A Moska, Dawid Motyka, Paweł T Walkowiak, Arkadiusz Janz, Karolina Seweryn, Anna Kołos, Agnieszka Karlińska, Katarzyna Lorenc, Katarzyna Dziewulska, Maciej Chrabąszcz, Aleksandra Krasnodębska, Paula Betscher, Zofia Cieślińska, Katarzyna Kowol, Bartosz Żuk · 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. 23879–23908.
  15. PublikacjaThe Illusion of Progress: Re-evaluating Hallucination Detection in LLMsDenis P. Janiak, Jakub Binkowski, Albert K Sawczyn, Tomasz Kajdanowicz, Bogdan Gabrys, Ravid Shwartz-Ziv · 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.
  16. PublikacjaHallucination Detection in LLMs Using Spectral Features of Attention MapsJakub Binkowski, Denis P Janiak, Albert K Sawczyn, Tomasz Kajdanowicz, Bogdan Gabrys · 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.
  17. PublikacjaIntegrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainabilityAnh Ngo, Jan Kocoń · Information Fusion 2025 vol. 118, art. 102966, s. 1-22.
  18. PublikacjaNLP for digital humanities: Processing chronological text corporaTomasz Walkowiak, Adam Pawłowski · W: The 4th International Conference on Natural Language Processing for Digital Humanities : Proceedings of the Conference : November 16, 2024, Miami, USA / eds. Mika Hämäläinen [i in.]. Stroudsburg : Association for Computational Linguistics, cop. 2024. s. 105-112.
  19. PublikacjaPersonalized large language modelsStanisław J. Woźniak, Bartłomiej Koptyra, Arkadiusz Janz, Przemysław Kazienko, Jan Kocoń · W: 24th IEEE International Conference on Data Mining Workshops, ICDMW 2024, 9 December 2024, Abu Dhabi, United Arab Emirates : proceedings / eds. Yi He [i in.]. Piscataway, NJ : Institute of Electrical and Electronics Engineers, cop. 2024. s. 511-520.
  20. PublikacjaSelf-training large language models through knowledge detectionTeddy Ferdinan, Przemysław Kazienko, Wei Jie Yeo, Ranjan Satapathy, Erik Cambria · W: The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024, November 12-16, 2024 / eds. Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen. Stroudsburg : Association for Computational Linguistics, cop. 2024. s. 15033-150451.