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- PersonAlbert SawczynPhD Student · Graph Representation Learning Natural Language Processing Unsupervised Learning Self-Supervised learning · AAI · Representation Learning Group · 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…
- PersonArkadiusz JanzAssistant Professor · Machine Learning Natural Language Processing Semantic Networks Representation Learning Semantics · CLARIN-PL · Description in progress..
- Persondr inż. Kamil TagowskiResearch Assistant Professor · Representation Learning Deep Learning Natural Language Processing · AAI · Representation Learning Group · 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…
- Research groupG4.19Language technologies and NLP tools for research and practical applications. · Maciej Piasecki · The group covers natural language processing, language resources, information retrieval, question answering and tools supporting research workflows. · NLP Polish language processing language resources text analysis information retrieval question answering research NLP tools digital humanities…
- PersonJakub BinkowskiPhD Student · Graph Represetantion Learninig Geometric Deep Learning NLP · AAI · Representation Learning Group · 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,…
- PersonJan JakubikAssistant · Deep learnning Audio analysis Generative media · 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…
- PersonJan KocońAssistant Professor · natural language processing personalization deep language models machine learning artificial intelligence cryptocurrencies · 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…
- PersonKamil AdamczewskiAssistant Professor · genwro.AI · Kamil Adamczewski is a researcher and entrepreneur with over 10 years of experience in Machine Learning and Computer Vision, focusing on Efficient AI. He earned a PhD from ETH Zurich and Max Planck Institute for Intelligent Systems, a Master's in Computer Science from the University of Oxford, and a Master's in Computer Engineering from Seoul National University.…
- PersonKamil KanclerzPhD Student · Natural Language Processing Machine Learning GPU-based Deep Learning Artificial Intelligence · 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…
- PersonMaciej PiaseckiAssociate Professor · computational linguistics natural language processing machine learning semantic networks and lexical resources applications of AI in language and text analysis Polish language technology development · CLARIN-PL · G4.19 · Professor Maciej Piasecki is a researcher specializing in computational linguistics, natural language processing, and machine learning. His work focuses on…
- PersonMarcin PlataAssistant Professor · 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…
- PersonMariusz PelcHabilitated Doctor of Engineering, research and teaching staff · bio-medical engineering edge ai neuromorphic computing ai applications expert and ai systems computer control systems · M&M - Mind & Machine · Biomedical.ai · Mariusz Pelc, PhD, DSc (Habil.), is an Associate Professor at Wrocław University of Science and Technology, Department of Artificial Intelligence. His current research focuses…
- PersonPiotr GramackiPhD Student · Geospatial Data Urban Data Science Natural Language Processing Representation Learning · Geospatial & Mobility Research Group · 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…
- PersonPiotr SzymańskiAssistant Professor · urban data science spoken language understanding natural language processing representation learning · Geospatial & Mobility Research Group · 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…
- PersonPrzemysław KazienkoFull Professor · Machine Learning Affective Computing Emotion Recognition Wearables Personalization Natural Language Processing Human-centred NLP Social Media Analytics Social Networks · Emognition · HumaNLP · ImpactAI Lab · Przemysław Kazienko, Ph.D. is a full professor and leader of ENGINE - the European Centre for Data Science at Wroclaw University of Science and Technology, Poland and two…
- PersonStanisław MarkowskiPhD Student · 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…
- PersonStanisław WoźniakPhD Student · natural language processing personalization large language models agentic ai
- PersonTeddy FerdinanPhD Student · Teddy Ferdinan is a PhD candidate in the Department of Artificial Intelligence at Wrocław University of Science and Technology. His research focuses on large language models and natural language processing, specifically continual learning and transfer learning methods, as well as knowledge boundary probing. He has published in renowned journals and conferences such as Information…
- PersonTomasz WalkowiakAssistant Professor · natural language processing stylometry semantic similarity of texts deep language models out-of-distribution analysis · CLARIN-PL · Tomasz Walkowiak is a scientist working in the field of machine learning. He is one of the leading designers of the concept and architecture of the CLARIN-PL Language Technology Centre, which is built upon parallel, distributed, and efficient…
- PublicationDeep learning approaches for natural language processingAleksandra D Kawala-Sterniuk, Aleksandra Świetlicka, Dariusz Mikołajewski · Electronics. 2026, vol. 15, nr 14, art. 3177, s. 1-4.
- PublicationPLLuM-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.
- PublicationThe 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.
- PublicationHallucination 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.
- PublicationIntegrating 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.
- PublicationNLP 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.
- PublicationPersonalized 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.
- PublicationSelf-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.