Emergence of Novelty in Evolutionary Algorithms. - David Herel; Dominika Zogatova; Matej Kripner; Tomás Mikolov (CoRR, 2022)

Preserving Semantics in Textual Adversarial Attacks. - David Herel; Hugo Cisneros; Tomás Mikolov (ECAI, 2023)

Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations. - Ondrej Kobza; Jan Cuhel; Tommaso Gargiani; David Herel; Petr Marek (CoRR, 2023)

Advancing State of the Art in Language Modeling. - David Herel; Tomás Mikolov (CoRR, 2023)

Enhancements in BlenderBot 3: Expanding Beyond a Singular Model Governance and Boosting Generational Performance. - Ondrej Kobza; David Herel; Jan Cuhel; Tommaso Gargiani; Jan Pichl; Petr Marek; Jakub Konrád; Jan Sedivý (Future Internet, 2023)

Collapse of Self-trained Language Models. - David Herel; Tomás Mikolov (Tiny Papers @ ICLR, 2024)

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

Thinking Tokens for Language Modeling. - David Herel; Tomás Mikolov (CoRR, 2024)

Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time. - David Herel; Vojtech Bartek; Tomás Mikolov (CoRR, 2024)

Rethinking Thinking Tokens: Understanding Why They Underperform in Practice. - Sreeram Vennam; David Valente; David Herel; Ponnurangam Kumaraguru (CoRR, 2024)

Alquist 5.0: Dialogue Trees Meet Generative Models, a Novel Approach for Enhancing SocialBot Conversations. - Ondrej Kobza; David Herel; Jan Cuhel; Tommaso Gargiani; Petr Marek; Jan Sedivý (Future Internet, 2024)

Geometric Reasoning in the Embedding Space. - Jan Hula; David Mojzísek; Jirí Janecek; David Herel; Mikolás Janota (CoRR, 2025)