Michal Stefánik

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Topics

Information Retrieval

Question Answering

Top Venues

CLEF (Working Notes)

Publications

Michal Stefánik, Marek Kadlcík, Petr Sojka
Concept-aware Data Construction Improves In-context Learning of Language Models. ACL (Findings) (2024)
Marek Kadlcík, Michal Stefánik
Self-training Language Models for Arithmetic Reasoning. CoRR (2024)
Michal Stefánik, Marek Kadlcík, Petr Sojka
Concept-aware Data Construction Improves In-context Learning of Language Models. CoRR (2024)
Lukás Mikula, Michal Stefánik, Marek Petrovic, Petr Sojka
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models. EACL (1) (2024)
Michal Stefánik, Marek Kadlcík, Petr Sojka
Soft Alignment Objectives for Robust Adaptation of Language Generation. ACL (1) (2023)
Lukás Mikula, Michal Stefánik, Marek Petrovic, Petr Sojka
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models. CoRR (2023)
Vít Novotný, Kristýna Luger, Michal Stefánik, Tereza Vrabcová, Ales Horák
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts. CoRR (2023)
Marek Kadlcík, Michal Stefánik, Ondrej Sotolár, Vlastimil Martinek
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems. EMNLP (2023)
Jan Nehyba, Michal Stefánik
Applications of deep language models for reflective writings. Educ. Inf. Technol. 28 (3) (2023)
Marek Kadlcík, Michal Stefánik
Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems. CoRR (2023)
Michal Stefánik, Marek Kadlcík
Concept-aware Training Improves In-context Learning Ability of Language Models. CoRR (2023)
Michal Stefánik, Marek Kadlcík, Piotr Gramacki, Petr Sojka
Resources and Few-shot Learners for In-context Learning in Slavic Languages. CoRR (2023)
Vit Novotny, Kristina Luger, Michal Stefánik, Tereza Vrabcová, Ales Horák
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts. ACL (Findings) (2023)
Vít Novotný, Michal Stefánik
Combining Sparse and Dense Information Retrieval. CLEF (Working Notes) (2022)
Michal Stefánik
Methods for Estimating and Improving Robustness of Language Models. CoRR (2022)
Michal Stefánik, Marek Kadlcík, Petr Sojka
Soft Alignment Objectives for Robust Adaptation in Machine Translation. CoRR (2022)
Michal Stefánik, Vít Novotný, Nikola Groverová, Petr Sojka
Adaptor: Objective-Centric Adaptation Framework for Language Models. ACL (demo) (2022)
Sárka Scavnická, Michal Stefánik, Marek Kadlcík, Martin Geletka, Petr Sojka
Towards General Document Understanding through Question Answering. RASLAN (2022)
Michal Stefánik
Methods for Estimating and Improving Robustness of Language Models. NAACL-HLT (Student Research Workshop) (2022)
Michal Stefánik, Marek Kadlcík
What is Not in the Context? Evaluation of Few-shot Learners with Informative Demonstrations. CoRR (2022)
Vít Novotný, Michal Stefánik, Eniafe Festus Ayetiran, Petr Sojka, Radim Rehurek
When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting. J. Univers. Comput. Sci. 28 (2) (2022)
Martin Geletka, Mikulás Bankovic, Dávid Melus, Sárka Scavnická, Michal Stefánik, Petr Sojka
Information Extraction from Business Documents: A Case Study. RASLAN (2022)
Martin Geletka, Vojtech Kalivoda, Michal Stefánik, Marek Toma, Petr Sojka
Diverse Semantics Representation is King. CLEF (Working Notes) (2022)
Michal Stefánik, Vít Novotný, Nikola Groverová, Petr Sojka
AdaptOr: Objective-Centric Adaptation Framework for Language Models. CoRR (2022)
Michal Stefánik, Vít Novotný, Petr Sojka
Regressive Ensemble for Machine Translation Quality Evaluation. CoRR (2021)
Vít Novotný, Michal Stefánik, Dávid Lupták, Martin Geletka, Petr Zelina, Petr Sojka
Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021. CLEF (Working Notes) (2021)
Vít Novotný, Eniafe Festus Ayetiran, Dalibor Bacovský, Dávid Lupták, Michal Stefánik, Petr Sojka
One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages. RANLP (2021)
Dávid Lupták, Vít Novotný, Michal Stefánik, Petr Sojka
WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code. CoRR (2021)
Vít Novotný, Michal Stefánik, Eniafe Festus Ayetiran, Petr Sojka
When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting. CoRR (2021)
Vít Novotný, Eniafe Festus Ayetiran, Dávid Lupták, Michal Stefánik, Petr Sojka
One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages. CoRR (2021)
Michal Stefánik, Petr Sojka
Towards Domain Robustness of Neural Language Models. RASLAN (2021)
Michal Stefánik, Vít Novotný, Petr Sojka
Regressive Ensemble for Machine Translation Quality Evaluation. WMT@EMNLP (2021)
Dávid Lupták, Vít Novotný, Michal Stefánik, Petr Sojka
WebMIaS on Docker - Deploying Math-Aware Search in a Single Line of Code. CICM (2021)
Martin Líska, Dávid Lupták, Vít Novotný, Michal Ruzicka, Boris Shminke, Petr Sojka, Michal Stefánik, Makarius Wenzel
CICM'21 Systems Entries. CICM (2021)
Vít Novotný, Petr Sojka, Michal Stefánik, Dávid Lupták
Three is Better than One: Ensembling Math Information Retrieval Systems. CLEF (Working Notes) (2020)
Vít Novotný, Michal Stefánik, Dávid Lupták, Petr Sojka
Towards Useful Word Embeddings. RASLAN (2020)
Vít Novotný, Eniafe Festus Ayetiran, Michal Stefánik, Petr Sojka
Text classification with word embedding regularization and soft similarity measure. CoRR (2020)
Petr Sojka, Vít Novotný, Eniafe Festus Ayetiran, Dávid Lupták, Michal Stefánik
Quo Vadis, Math Information Retrieval. RASLAN (2019)