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Marek Kadlcík
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2020 – today
- 2025
- [i10]Michal Spiegel, Michal Stefánik, Marek Kadlcík, Josef Kuchar:
Attend or Perish: Benchmarking Attention in Algorithmic Reasoning. CoRR abs/2503.01909 (2025) - [i9]Tereza Vrabcová, Marek Kadlcík, Petr Sojka, Michal Stefánik, Michal Spiegel:
Negation: A Pink Elephant in the Large Language Models' Room? CoRR abs/2503.22395 (2025) - 2024
- [c5]Michal Stefánik, Marek Kadlcík, Petr Sojka
:
Concept-aware Data Construction Improves In-context Learning of Language Models. ACL (Findings) 2024: 12335-12352 - [c4]Marek Kadlcík, Michal Stefánik:
Self-training Language Models for Arithmetic Reasoning. EMNLP (Findings) 2024: 12378-12386 - [i8]Michal Stefánik, Marek Kadlcík, Petr Sojka
Concept-aware Data Construction Improves In-context Learning of Language Models. CoRR abs/2403.09703 (2024) - [i7]Marek Kadlcík, Michal Stefánik:
Self-training Language Models for Arithmetic Reasoning. CoRR abs/2407.08400 (2024) - 2023
- [c3]Michal Stefánik, Marek Kadlcík, Petr Sojka:
Soft Alignment Objectives for Robust Adaptation of Language Generation. ACL (1) 2023: 8837-8853 - [c2]Marek Kadlcík, Michal Stefánik, Ondrej Sotolár, Vlastimil Martinek:
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems. EMNLP 2023: 12101-12108 - [i6]Michal Stefánik, Marek Kadlcík, Piotr Gramacki
Resources and Few-shot Learners for In-context Learning in Slavic Languages. CoRR abs/2304.01922 (2023) - [i5]Marek Kadlcík, Adam Hájek, Jürgen Kieslich, Radoslaw Winiecki:
A Whisper transformer for audio captioning trained with synthetic captions and transfer learning. CoRR abs/2305.09690 (2023) - [i4]Michal Stefánik, Marek Kadlcík:
Concept-aware Training Improves In-context Learning Ability of Language Models. CoRR abs/2305.13775 (2023) - [i3]Marek Kadlcík, Michal Stefánik:
Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems. CoRR abs/2305.15017 (2023) - 2022
- [c1]Sárka Scavnická, Michal Stefánik, Marek Kadlcík, Martin Geletka, Petr Sojka:
Towards General Document Understanding through Question Answering. RASLAN 2022: 181-188 - [i2]Michal Stefánik, Marek Kadlcík, Petr Sojka:
Soft Alignment Objectives for Robust Adaptation in Machine Translation. CoRR abs/2211.16550 (2022) - [i1]Michal Stefánik, Marek Kadlcík:
What is Not in the Context? Evaluation of Few-shot Learners with Informative Demonstrations. CoRR abs/2212.01692 (2022)
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