| A Whisper transformer for audio captioning trained with synthetic captions and transfer learning M Kadlčík, A Hájek, J Kieslich, R Winiecki arXiv preprint arXiv:2305.09690, 2023 | 6 | 2023 |
| Can In-context Learners Learn a Reasoning Concept from Demonstrations? M Štefánik, M Kadlčík Proceedings of the 1st Workshop on Natural Language Reasoning and Structured …, 2023 | 4 | 2023 |
| Towards General Document Understanding through Question Answering Š Ščavnická, M Štefánik, M Kadlčík, M Geletka, P Sojka RASLAN 2022 Recent Advances in Slavonic Natural Language Processing, 183, 2022 | 2 | 2022 |
| Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems M Kadlčík, M Štefánik, O Sotolar, V Martinek The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 1 | 2023 |
| Soft Alignment Objectives for Robust Adaptation of Language Generation M Štefánik, M Kadlčík, P Sojka Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 1 | 2023 |
| Resources and Few-shot Learners for In-context Learning in Slavic Languages M Štefánik, M Kadlčík, P Gramacki, P Sojka arXiv preprint arXiv:2304.01922, 2023 | 1 | 2023 |
| Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems M Kadlčík, M Štefánik arXiv preprint arXiv:2305.15017, 2023 | | 2023 |
| Concept-aware Training Improves In-context Learning Ability of Language Models M Štefánik, M Kadlčík arXiv preprint arXiv:2305.13775, 2023 | | 2023 |
| What is Not in the Context? Evaluation of Few-shot Learners with Informative Demonstrations M Štefánik, M Kadlčík arXiv preprint arXiv:2212.01692, 2022 | | 2022 |
| Soft Alignment Objectives for Robust Adaptation in Machine Translation M Štefánik, M Kadlčík, P Sojka arXiv preprint arXiv:2211.16550, 2022 | | 2022 |
| Risk-Sensitive Reinforcement Learning M Kadlčík | | |
