Výpis publikací

ŠTEFÁNIK, Michal; Marek KADLČÍK a Petr SOJKA. Concept-aware Data Construction Improves In-context Learning of Language Models. Online. In Lun-Wei Ku, Andre Martins, Vivek Srikumar. Findings of the Association for Computational Linguistics ACL 2024. Bangkok, Thailand: Association for Computational Linguistics, 2024, s. 12335-12352. ISBN 979-8-89176-099-8.

ŠTEFÁNIK, Michal; Marek KADLČÍK a Petr SOJKA. Concept-aware Data Construction Improves In-context Learning of Language Models. In ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models. 2024. Dostupné z: https://dx.doi.org/10.48550/arXiv.2403.09703.

KADLČÍK, Marek a Michal ŠTEFÁNIK. Self-training Language Models for Arithmetic Reasoning. Online. In Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen. 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Hybrid, Miami: Association for Computational Linguistics, 2024, s. 12378-12386. ISBN 979-8-89176-168-1. Dostupné z: https://dx.doi.org/10.18653/v1/2024.findings-emnlp.721.

KADLČÍK, Marek; Michal ŠTEFÁNIK; Ondřej SOTOLÁŘ a Vlastimil MARTINEK. Self-Training Language Models in Arithmetic Reasoning. In ICLR 2024 Workshop on Large Language Model (LLM) Agents. 2024.

KADLČÍK, Marek; Michal ŠTEFÁNIK; Ondřej SOTOLÁŘ a Vlastimil MARTINEK. Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems. Online. In Houda Bouamor, Juan Pino, Kalika Bali. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Main track. Singapore: Association for Computational Linguistics, 2023, s. 12101-12108. ISBN 979-8-89176-060-8. Dostupné z: https://dx.doi.org/10.18653/v1/2023.emnlp-main.742.

ŠTEFÁNIK, Michal a Marek KADLČÍK. Can In-context Learners Learn a Reasoning Concept from Demonstrations?. Online. In Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE). Toronto, Canada: The Association for Computational Linguistics, 2023, s. 107-115. ISBN 978-1-959429-94-4.

ŠTEFÁNIK, Michal; Marek KADLČÍK; Piotr GRAMACKI a Petr SOJKA. Resources and Few-shot Learners for In-context Learning in Slavic Languages. Online. In Jakub Piskorski, Michał Marcińczuk, Preslav Nakov, Maciej Ogrodniczuk, Senja Pollak, Pavel Přibáň, Piotr Rybak, Josef Steinberger, Roman Yangarber. Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023). Dubrovnik, Croatia: Association for Computational Linguistics, 2023, s. 94-105. ISBN 978-1-959429-57-9.

ŠTEFÁNIK, Michal; Marek KADLČÍK a Petr SOJKA. Soft Alignment Objectives for Robust Adaptation of Language Generation. Online. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Toronto, Canada: Association for Computational Linguistics, 2023, s. 8837-8853. ISBN 978-1-959429-72-2. Dostupné z: https://dx.doi.org/10.18653/v1/2023.acl-long.492.

ŠČAVNICKÁ, Šárka; Michal ŠTEFÁNIK; Marek KADLČÍK; Martin GELETKA a Petr SOJKA. Towards General Document Understanding through Question Answering. In Recent Advances in Slavonic Natural Language Processing (RASLAN 2022). Recent Advances in Slavonic. Brno: Tribun EU, 2022, s. 181-188. ISBN 978-80-263-1752-4.