Marek Kadlcík

22 papers A* 2Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Attend or Perish: Benchmarking Attention in Algorithmic Reasoning. CoRR Michal Spiegel, Michal Stefánik, Marek Kadlcík, Josef Kuchar
2025	—	`conf`	Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering. EMNLP (Findings) Michal Stefánik, Timothee Mickus, Michal Spiegel, Marek Kadlcík, Josef Kuchar
2025	J	`jnl`	Can Out-of-Distribution Evaluations Uncover Reliance on Shortcuts? A Case Study in Question Answering. CoRR Michal Stefánik, Timothee Mickus, Marek Kadlcík, Michal Spiegel, Josef Kuchar
2025	J	`jnl`	Negation: A Pink Elephant in the Large Language Models' Room? CoRR Tereza Vrabcová, Marek Kadlcík, Petr Sojka, Michal Stefánik, Michal Spiegel
2025	A*	`conf`	Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers. EMNLP Marek Kadlcík, Michal Stefánik, Timothee Mickus, Josef Kuchar, Michal Spiegel
2025	J	`jnl`	Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers. CoRR Marek Kadlcík, Michal Stefánik, Timothee Mickus, Michal Spiegel, Josef Kuchar
2025	—	`conf`	Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis. EMNLP (Findings) Tereza Vrabcová, Marek Kadlcík, Petr Sojka, Michal Stefánik, Michal Spiegel
2025	J	`jnl`	Unravelling the Mechanisms of Manipulating Numbers in Language Models. CoRR Michal Stefánik, Timothee Mickus, Marek Kadlcík, Bertram Højer, Michal Spiegel, Raúl Vázquez, Aman Sinha, Josef Kuchar, Philipp Mondorf
2025	J	`jnl`	VectorEdits: A Dataset and Benchmark for Instruction-Based Editing of Vector Graphics. CoRR Josef Kuchar, Marek Kadlcík, Michal Spiegel, Michal Stefánik
2024	—	`conf`	Concept-aware Data Construction Improves In-context Learning of Language Models. ACL (Findings) Michal Stefánik, Marek Kadlcík, Petr Sojka
2024	J	`jnl`	Concept-aware Data Construction Improves In-context Learning of Language Models. CoRR Michal Stefánik, Marek Kadlcík, Petr Sojka
2024	—	`conf`	Self-training Language Models for Arithmetic Reasoning. EMNLP (Findings) Marek Kadlcík, Michal Stefánik
2024	J	`jnl`	Self-training Language Models for Arithmetic Reasoning. CoRR Marek Kadlcík, Michal Stefánik
2023	J	`jnl`	A Whisper transformer for audio captioning trained with synthetic captions and transfer learning. CoRR Marek Kadlcík, Adam Hájek, Jürgen Kieslich, Radoslaw Winiecki
2023	A*	`conf`	Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems. EMNLP Marek Kadlcík, Michal Stefánik, Ondrej Sotolár, Vlastimil Martinek
2023	J	`jnl`	Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems. CoRR Marek Kadlcík, Michal Stefánik
2023	J	`jnl`	Concept-aware Training Improves In-context Learning Ability of Language Models. CoRR Michal Stefánik, Marek Kadlcík
2023	J	`jnl`	Resources and Few-shot Learners for In-context Learning in Slavic Languages. CoRR Michal Stefánik, Marek Kadlcík, Piotr Gramacki, Petr Sojka
2023	—	`conf`	Soft Alignment Objectives for Robust Adaptation of Language Generation. ACL (1) Michal Stefánik, Marek Kadlcík, Petr Sojka
2022	J	`jnl`	Soft Alignment Objectives for Robust Adaptation in Machine Translation. CoRR Michal Stefánik, Marek Kadlcík, Petr Sojka
2022	—	`conf`	Towards General Document Understanding through Question Answering. RASLAN Sárka Scavnická, Michal Stefánik, Marek Kadlcík, Martin Geletka, Petr Sojka
2022	J	`jnl`	What is Not in the Context? Evaluation of Few-shot Learners with Informative Demonstrations. CoRR Michal Stefánik, Marek Kadlcík