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Radoslav Sabol
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2020 – today
- 2025
- [j2]Martin Fajcik, Martin Docekal, Jan Dolezal, Karel Ondrej, Karel Benes, Jan Kapsa, Pavel Smrz, Alexander Polok, Michal Hradis, Zuzana Neverilová, Ales Horák, Radoslav Sabol, Michal Stefánik, Adam Jirkovsky, David Adamczyk, Petr Hyner, Jan Hula, Hynek Kydlícek:
BenCzechMark : A Czech-Centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism. Trans. Assoc. Comput. Linguistics 13: 1068-1095 (2025) - 2024
- [j1]Ales Horák
, Radoslav Sabol, Ondrej Herman, Vít Baisa:
Recognition of propaganda techniques in newspaper texts: Fusion of content and style analysis. Expert Syst. Appl. 251: 124085 (2024) - [c11]Marek Medved, Radoslav Sabol, Ales Horák:
SlamaTrain - Representative Training Dataset for Slavonic Large Language Models. RASLAN 2024: 25-33 - [i1]Martin Fajcik, Martin Docekal, Jan Dolezal, Karel Ondrej, Karel Benes, Jan Kapsa, Pavel Smrz, Alexander Polok, Michal Hradis, Zuzana Neverilová, Ales Horák, Radoslav Sabol, Michal Stefánik, Adam Jirkovsky, David Adamczyk, Petr Hyner
, Jan Hula, Hynek Kydlícek:
BenCzechMark : A Czech-centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism. CoRR abs/2412.17933 (2024) - 2023
- [c10]Radoslav Sabol, Ales Horák:
Augmenting Stylometric Features to Improve Detection of Propaganda and Manipulation. RASLAN 2023: 67-77 - 2022
- [c9]Marek Medved, Radoslav Sabol, Ales Horák:
Comparing RNN and Transformer Context Representations in the Czech Answer Selection Task. ICAART (3) 2022: 388-394 - [c8]Radoslav Sabol, Ales Horák:
Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis. RASLAN 2022: 189-197 - [c7]Radoslav Sabol, Ales Horák
:
New Language Identification and Sentiment Analysis Modules for Social Media Communication. TSD 2022: 89-101 - 2021
- [c6]Marek Medved, Radoslav Sabol, Ales Horák:
Evaluating Long Contexts in the Czech Answer Selection Task. RASLAN 2021: 61-69 - 2020
- [c5]Marek Medved', Radoslav Sabol, Ales Horák:
Improving RNN-based Answer Selection for Morphologically Rich Languages. ICAART (2) 2020: 644-651 - [c4]Marek Medved, Radoslav Sabol, Ales Horák:
Efficient Management and Optimization of Very Large Machine Learning Dataset for Question Answering. RASLAN 2020: 23-34 - [c3]Marek Medved, Radoslav Sabol, Ales Horák
:
Employing Sentence Context in Czech Answer Selection. TDS 2020: 112-121
2010 – 2019
- 2019
- [c2]Radoslav Sabol, Marek Medved, Ales Horák:
Czech Question Answering with Extended SQAD v3.0 Benchmark Dataset. RASLAN 2019: 99-108 - 2018
- [c1]Radoslav Sabol, Marek Medved, Ales Horák:
Recurrent Networks in AQA Answer Selection. RASLAN 2018: 53-62
Coauthor Index

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last updated on 2025-10-08 23:39 CEST by the dblp team
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