Towards General Document Understanding through Question Answering. - Sárka Scavnická; Michal Stefánik; Marek Kadlcík; Martin Geletka; Petr Sojka (RASLAN, 2022)

Soft Alignment Objectives for Robust Adaptation in Machine Translation. - Michal Stefánik; Marek Kadlcík; Petr Sojka (CoRR, 2022)

What is Not in the Context? Evaluation of Few-shot Learners with Informative Demonstrations. - Michal Stefánik; Marek Kadlcík (CoRR, 2022)

Soft Alignment Objectives for Robust Adaptation of Language Generation. - Michal Stefánik; Marek Kadlcík; Petr Sojka (ACL (1), 2023)

Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems. - Marek Kadlcík; Michal Stefánik; Ondrej Sotolár; Vlastimil Martinek (EMNLP, 2023)

Resources and Few-shot Learners for In-context Learning in Slavic Languages. - Michal Stefánik; Marek Kadlcík; Piotr Gramacki; Petr Sojka (CoRR, 2023)

A Whisper transformer for audio captioning trained with synthetic captions and transfer learning. - Marek Kadlcík; Adam Hájek; Jürgen Kieslich; Radoslaw Winiecki (CoRR, 2023)

Concept-aware Training Improves In-context Learning Ability of Language Models. - Michal Stefánik; Marek Kadlcík (CoRR, 2023)

Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems. - Marek Kadlcík; Michal Stefánik (CoRR, 2023)

Concept-aware Data Construction Improves In-context Learning of Language Models. - Michal Stefánik; Marek Kadlcík; Petr Sojka (ACL (Findings), 2024)

Self-training Language Models for Arithmetic Reasoning. - Marek Kadlcík; Michal Stefánik (EMNLP (Findings), 2024)

Attend or Perish: Benchmarking Attention in Algorithmic Reasoning. - Michal Spiegel; Michal Stefánik; Marek Kadlcík; Josef Kuchar (CoRR, 2025)

Negation: A Pink Elephant in the Large Language Models' Room? - Tereza Vrabcová; Marek Kadlcík; Petr Sojka; Michal Stefánik; Michal Spiegel (CoRR, 2025)

Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers. - Marek Kadlcík; Michal Stefánik; Timothee Mickus; Michal Spiegel; Josef Kuchar (CoRR, 2025)

VectorEdits: A Dataset and Benchmark for Instruction-Based Editing of Vector Graphics. - Josef Kuchar; Marek Kadlcík; Michal Spiegel; Michal Stefánik (CoRR, 2025)