Marek Kadlcík

According to our database, Marek Kadlcík authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Language Models Learn Universal Representations of Numbers and Here's Why You Should Care.

Michal Stefánik, Timothee Mickus, Marek Kadlcík, Bertram Højer, Michal Spiegel, Raúl Vázquez, Aman Sinha, Josef Kuchar, Philipp Mondorf, Pontus Stenetorp

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Unravelling the Mechanisms of Manipulating Numbers in Language Models.

Michal Stefánik, Timothee Mickus, Marek Kadlcík, Bertram Højer, Michal Spiegel, Raúl Vázquez, Aman Sinha, Josef Kuchar, Philipp Mondorf

CoRR, October, 2025

Can Out-of-Distribution Evaluations Uncover Reliance on Shortcuts? A Case Study in Question Answering.

Michal Stefánik, Timothee Mickus, Marek Kadlcík, Michal Spiegel, Josef Kuchar

CoRR, August, 2025

VectorEdits: A Dataset and Benchmark for Instruction-Based Editing of Vector Graphics.

Josef Kuchar, Marek Kadlcík, Michal Spiegel, Michal Stefánik

CoRR, June, 2025

Negation: A Pink Elephant in the Large Language Models' Room?

Tereza Vrabcová, Marek Kadlcík, Petr Sojka, Michal Stefánik, Michal Spiegel

CoRR, March, 2025

Attend or Perish: Benchmarking Attention in Algorithmic Reasoning.

Michal Spiegel, Michal Stefánik, Marek Kadlcík, Josef Kuchar

CoRR, March, 2025

Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis.

Tereza Vrabcová, Marek Kadlcík, Petr Sojka, Michal Stefánik, Michal Spiegel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering.

Michal Stefánik, Timothee Mickus, Michal Spiegel, Marek Kadlcík, Josef Kuchar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers.

Marek Kadlcík, Michal Stefánik, Timothee Mickus, Josef Kuchar, Michal Spiegel

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Self-training Language Models for Arithmetic Reasoning.

Marek Kadlcík, Michal Stefánik

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Concept-aware Data Construction Improves In-context Learning of Language Models.

Michal Stefánik, Marek Kadlcík, Petr Sojka

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems.

Marek Kadlcík, Michal Stefánik

CoRR, 2023

Concept-aware Training Improves In-context Learning Ability of Language Models.

Michal Stefánik, Marek Kadlcík

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

Resources and Few-shot Learners for In-context Learning in Slavic Languages.

Michal Stefánik, Marek Kadlcík, Piotr Gramacki, Petr Sojka

CoRR, 2023

Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems.

Marek Kadlcík, Michal Stefánik, Ondrej Sotolár, Vlastimil Martinek

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Soft Alignment Objectives for Robust Adaptation of Language Generation.

Michal Stefánik, Marek Kadlcík, Petr Sojka

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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 in Machine Translation.

Michal Stefánik, Marek Kadlcík, Petr Sojka

CoRR, 2022

Towards General Document Understanding through Question Answering.

Sárka Scavnická, Michal Stefánik, Marek Kadlcík, Martin Geletka, Petr Sojka

Proceedings of the 16th Workshop on Recent Advances in Slavonic Natural Languages Processing, 2022