We are pleased to share that our members actively participated in the PP-RAI 2026 conference, held in April 2026 in Kraków, Poland. The event focused on the latest advancements in artificial intelligence and its applications across diverse domains. Our team presented their research, engaged in insightful discussions, and contributed to the dynamic exchange of ideas that defined the conference.

Mateusz Mazur presented his paper, “LLM-Augmented Pedagogy: Enhancing Instructor Efficiency and Student Engagement via Automated Solution Summaries”, during an oral session in the “Interdisciplinary Topics in Artificial Intelligence” track. His work explored the potential of large language models (LLMs) to enhance educational pedagogy, demonstrating how AI can support more personalized and effective learning experiences. The presentation was well received and sparked engaging discussions on the future of AI in education.

Piotr Sokołowski presented his paper, “Graph-Based Relationship and Cluster Modelling for Declarative Spatial Intelligence”, during a poster session in the same “Interdisciplinary Topics in Artificial Intelligence” track. His research focused on graph-based relationship clustering and led to the development of a novel dataset for predicting optimal locations for new businesses. The poster session provided valuable opportunities for networking and feedback, further supporting ongoing research in this area.
This participation would not have been possible without the support of Sebastian Ernst, co-author of both works and supervisor to Mateusz and Piotr. His guidance and mentorship were instrumental in the successful preparation and presentation of their research at PP-RAI 2026. We are grateful for his support and look forward to continued collaboration in advancing our research.
Bibliography
- Mazur, M., & Ernst, S. (2026, April). LLM-Augmented Pedagogy: Enhancing Instructor Efficiency and Student Engagement via Automated Solution Summaries. PP-RAI 2026, Lecture Notes in Computer Science.
- Sokołowski, P., & Ernst, S. (2026). Graph-Based Relationship and Cluster Modelling for Declarative Spatial Intelligence. PP-RAI 2026, Progress in Polish Artificial Intelligence Research, (7).