About
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. He was fortunate to work on thematically diversified projects, covering signal processing, reinforcement learning, natural language processing and graph processing. His current work is placed in the field of learning representation of knowledge graphs and its applications.
Research Interests
Education
MSc in Data Science
Wrocław University of Science and Technology · 2021
BSc in Computer Science
Wrocław University of Science and Technology · 2020
Publications
Hallucination Detection in LLMs Using Spectral Features of Attention Maps
2025 · EMNLP 2025
The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
2025 · EMNLP 2025
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
2025 · arXiv 2503.17229
Empowering Small-Scale Knowledge Graphs: Leveraging General-Purpose KGs for Enriched Embeddings
2024 · LREC-COLING 2024
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction
2024 · Findings of ACL 2024
Graph-Level Representations Using Ensemble-Based Readout Functions
2023 · ICCS 2023
A Deeper Look at Graph Embedding RetroFitting
2023 · J. Computational Science 68
Fact-checking: relevance assessment of references in the Polish political domain
2021 · *Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES 2021*
