Pureformer: Do We Even Need Attention? - Uladzislau Yorsh; Alexander Kovalenko (CoRR, 2021)

Linear Self-attention Approximation via Trainable Feedforward Kernel. - Uladzislau Yorsh; Alexander Kovalenko (ICANN (3), 2022)

Text-to-Ontology Mapping via Natural Language Processing Models. - Uladzislau Yorsh; Alexander S. Behr; Norbert Kockmann; Martin Holena (ITAT, 2022)

Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis. - Lukás Korel; Uladzislau Yorsh; Alexander S. Behr; Norbert Kockmann; Martin Holena (Comput., 2023)

On Difficulties of Attention Factorization through Shared Memory. - Uladzislau Yorsh; Martin Holena; Ondrej Bojar; David Herel (Tiny Papers @ ICLR, 2024)