Jakub Simko

68 papers A* 6A 2B 1C 1Journal 28Unranked 29
YearRankTypeTitle / Venue / Authors
2026 — conf
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification.
EACL (Findings)
Branislav Pecher, Ján Cegin, Róbert Belanec, Ivan Srba, Jakub Simko, Mária Bieliková
2026 J jnl
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification.
CoRR
Branislav Pecher, Ján Cegin, Róbert Belanec, Ivan Srba, Jakub Simko, Mária Bieliková
2026 J jnl
Interpretable Predictability-Based AI Text Detection: A Replication Study.
CoRR
Adam Skurla, Dominik Macko, Jakub Simko
2026 — conf
MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models.
EACL (Findings)
Martin Hyben, Sebastian Kula, Ján Cegin, Jakub Simko, Ivan Srba, Róbert Móro
2026 J jnl
MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models.
CoRR
Martin Hyben, Sebastian Kula, Ján Cegin, Jakub Simko, Ivan Srba, Róbert Móro
2026 — conf
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets.
EACL (Volume 1: Long Papers)
Ján Cegin, Branislav Pecher, Ivan Srba, Jakub Simko
2025 J jnl
A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages.
CoRR
Ivan Vykopal, Martin Hyben, Róbert Móro, Michal Gregor, Jakub Simko
2025 A* conf
A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages.
EMNLP
Tatiana Anikina, Ján Cegin, Jakub Simko, Simon Ostermann
2025 J jnl
A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages.
CoRR
Tatiana Anikina, Ján Cegin, Jakub Simko, Simon Ostermann
2025 — conf
AI Research Is Not Magic, It Has to Be Reproducible and Responsible: Challenges in the AI Field from the Perspective of Its PhD Students.
DIGHUM
Andrea Hrckova, Jennifer Renoux, Rafael Tolosana-Calasanz, Daniela Chudá, Martin Tamajka, Jakub Simko
2025 — conf
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?
NAACL (Long Papers)
Ján Cegin, Jakub Simko, Peter Brusilovsky
2025 — conf
Model-based Algorithmic Auditing of Social Media AI Algorithms.
EWAF
Ivan Srba, Branislav Pecher, Jakub Simko, Róbert Móro, Mária Bieliková
2025 J jnl
Overshoot: Taking advantage of future gradients in momentum-based stochastic optimization.
CoRR
Jakub Kopal, Michal Gregor, Santiago de Leon-Martinez, Jakub Simko
2025 J jnl
Political Leaning and Politicalness Classification of Texts.
CoRR
Matous Volf, Jakub Simko
2025 J jnl
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets.
CoRR
Ján Cegin, Branislav Pecher, Ivan Srba, Jakub Simko
2025 — conf
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation.
EMNLP (Findings)
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
2024 J jnl
AI Research is not Magic, it has to be Reproducible and Responsible: Challenges in the AI field from the Perspective of its PhD Students.
CoRR
Andrea Hrckova, Jennifer Renoux, Rafael Tolosana-Calasanz, Daniela Chudá, Martin Tamajka, Jakub Simko
2024 — conf
Authorship Obfuscation in Multilingual Machine-Generated Text Detection.
EMNLP (Findings)
Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková
2024 J jnl
Authorship Obfuscation in Multilingual Machine-Generated Text Detection.
CoRR
Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková
2024 — conf
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation.
ACL (1)
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
2024 J jnl
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation.
CoRR
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
2024 — conf
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation.
EMNLP (Findings)
Branislav Pecher, Ján Cegin, Róbert Belanec, Jakub Simko, Ivan Srba, Mária Bieliková
2024 J jnl
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation.
CoRR
Branislav Pecher, Ján Cegin, Róbert Belanec, Jakub Simko, Ivan Srba, Mária Bieliková
2024 J jnl
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?
CoRR
Ján Cegin, Jakub Simko, Peter Brusilovsky
2024 — conf
Multilinguality in the VIGILANT project.
EAMT (2)
Brendan Spillane, Carolina Scarton, Róbert Móro, Petar Ivanov, Andrey Tagarev, Jakub Simko, Ibrahim Abu Farha, Gary Munnelly, Filip Uhlárik, Freddy Heppell
2024 J jnl
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification.
CoRR
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
2023 J jnl
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles.
Trans. Recomm. Syst.
Ivan Srba, Róbert Móro, Matús Tomlein, Branislav Pecher, Jakub Simko, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Adrian Gavornik, Mária Bieliková
2023 A* conf
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness.
EMNLP
Ján Cegin, Jakub Simko, Peter Brusilovsky
2023 J jnl
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness.
CoRR
Ján Cegin, Jakub Simko, Peter Brusilovsky
2023 J jnl
Is it indeed bigger better? The comprehensive study of claim detection LMs applied for disinformation tackling.
CoRR
Martin Hyben, Sebastian Kula, Ivan Srba, Róbert Móro, Jakub Simko
2023 A* conf
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.
EMNLP
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
2023 J jnl
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.
CoRR
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
2023 A* conf
Multilingual Previously Fact-Checked Claim Retrieval.
EMNLP
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková
2023 J jnl
Multilingual Previously Fact-Checked Claim Retrieval.
CoRR
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková
2022 — conf
A Game for Crowdsourcing Adversarial Examples for False Information Detection.
AiOfAi@IJCAI
Ján Cegin, Jakub Simko, Peter Brusilovsky
2022 J jnl
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes.
CoRR
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
2022 J jnl
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles.
CoRR
Ivan Srba, Róbert Móro, Matús Tomlein, Branislav Pecher, Jakub Simko, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Adrian Gavornik, Mária Bieliková
2022 J jnl
Automated, not Automatic: Needs and Practices in European Fact-checking Organizations as a basis for Designing Human-centered AI Systems.
CoRR
Andrea Hrckova, Róbert Móro, Ivan Srba, Jakub Simko, Mária Bieliková
2022 A* conf
Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract).
IJCAI
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
2022 A* conf
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims.
SIGIR
Ivan Srba, Branislav Pecher, Matús Tomlein, Róbert Móro, Elena Stefancova, Jakub Simko, Mária Bieliková
2022 J jnl
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims.
CoRR
Ivan Srba, Branislav Pecher, Matús Tomlein, Róbert Móro, Elena Stefancova, Jakub Simko, Mária Bieliková
2021 J jnl
A Study of Fake News Reading and Annotating in Social Media Context.
CoRR
Jakub Simko, Patrik Racsko, Matús Tomlein, Martina Hanakova, Mária Bieliková
2021 J jnl
A study of fake news reading and annotating in social media context.
New Rev. Hypermedia Multim.
Jakub Simko, Patrik Racsko, Matús Tomlein, Martina Hanakova, Róbert Móro, Mária Bieliková
2021 A conf
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes.
RecSys
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
2021 — conf
Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading.
UMAP (Adjunct Publication)
Jakub Simko, Matús Tomlein, Branislav Pecher, Róbert Móro, Ivan Srba, Elena Stefancova, Andrea Hrckova, Michal Kompan, Juraj Podrouzek, Mária Bieliková
2019 — conf
Fake News Reading on Social Media: An Eye-tracking Study.
HT
Jakub Simko, Martina Hanakova, Patrik Racsko, Matús Tomlein, Róbert Móro, Mária Bieliková
2019 A conf
Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization.
UMAP
Dereck Toker, Róbert Móro, Jakub Simko, Mária Bieliková, Cristina Conati
2019 J jnl
Screen recording segmentation to scenes for eye-tracking analysis.
Multim. Tools Appl.
Jakub Simko, Jakub Vrba
2019 C conf
Web-Navigation Skill Assessment Through Eye-Tracking Data.
ADBIS
Patrik Hlavac, Jakub Simko, Mária Bieliková
2019 — conf
YesElf: Personalized Onboarding for Web Applications.
UMAP (Adjunct Publication)
Michal Hucko, Ladislav Gazo, Peter Simún, Matej Valky, Róbert Móro, Jakub Simko, Mária Bieliková
2018 — conf
Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study.
IntRS@RecSys
Péter Gáspár, Michal Kompan, Jakub Simko, Mária Bieliková
2018 — conf
Towards Automated Web Navigation and Search Skill Assessment: An Eye-tracking Study on the Skill Differences.
SMAP
Jakub Kubanyi, Patrik Hlavac, Jakub Simko, Mária Bieliková
2017 — conf
Experiences Using an Interactive Presentation Platform in a Functional and Logic Programming Course.
UMAP (Adjunct Publication)
Vasileios Triglianos, Martin Labaj, Róbert Móro, Jakub Simko, Michal Hucko, Jozef Tvarozek, Cesare Pautasso, Mária Bieliková
2017 — conf
Visual pollution localization through crowdsourcing and visual similarity clustering.
SMAP
Zuzana Kucharikova, Jakub Simko
2016 — conf
Emotions detection using facial expressions recognition and EEG.
SMAP
Tomas Matlovic, Peter Gaspar, Róbert Móro, Jakub Simko, Mária Bieliková
2016 — conf
Linking Multimedia to Microblogs for Metadata Extraction.
ENIC
Peter Gaspar, Jakub Simko
2016 — conf
Pupillary Response: Removing Screen Luminosity Effects for Clearer Implicit Feedback.
UMAP (Extended Proceedings)
Tomas Juhaniak, Patrik Hlavac, Róbert Móro, Jakub Simko, Mária Bieliková
2015 — conf
Gaze-tracked crowdsourcing.
SMAP
Jakub Simko, Mária Bieliková
2015 — conf
Short video metadata acquisition game.
SMAP
Ales Masiar, Jakub Simko
2014 — book
Semantic Acquisition Games - Harnessing Manpower for Creating Semantics
Jakub Simko, Mária Bieliková
2013 B conf
Classsourcing: Crowd-Based Validation of Question-Answer Learning Objects.
ICCCI
Jakub Simko, Marián Simko, Mária Bieliková, Jakub Sevcech, Roman Burger
2013 J jnl
Human computation: Image metadata acquisition based on a single-player annotation game.
Int. J. Hum. Comput. Stud.
Jakub Simko, Michal Tvarozek, Mária Bieliková
2012 — conf
Personal image tagging: a game-based approach.
I-SEMANTICS
Jakub Simko, Mária Bieliková
2012 — conf
Validation of music metadata via game with a purpose.
I-SEMANTICS
Peter Dulacka, Jakub Simko, Mária Bieliková
2011 — conf
Games with a Purpose: User Generated Valid Metadata for Personal Archives.
SMAP
Jakub Simko, Mária Bieliková
2011 — conf
Little search game: term network acquisition via a human computation game.
HT
Jakub Simko, Michal Tvarozek, Mária Bieliková
2011 J jnl
Semantics Discovery via Human Computation Games.
Int. J. Semantic Web Inf. Syst.
Jakub Simko, Michal Tvarozek, Mária Bieliková
2010 — conf
Semantic History Map: Graphs Aiding Web Revisitation Support.
DEXA Workshops
Jakub Simko, Michal Tvarozek, Mária Bieliková