| 2026 | ACL | Authorship Attribution in Multilingual Machine-Generated Texts. | Lucio La Cava, Dominik Macko, Rbert Mro, Ivan Srba, Andrea Tagarelli |
| 2026 | ACL | Automatic Combination of Sample Selection Strategies for Few-Shot Learning. | Branislav Pecher, Ivan Srba, Mria Bielikov, Joaquin Vanschoren |
| 2026 | CHI | Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing. | Sara Solarova, Mats Mesarck, Branislav Pecher, Ivan Srba |
| 2026 | EACL | PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark. | Rbert Belanec, Branislav Pecher, Ivan Srba, Mria Bielikov |
| 2026 | EACL | PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models. | Rbert Belanec, Ivan Srba, Mria Bielikov |
| 2026 | EACL | RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets. | Jn Cegin, Branislav Pecher, Ivan Srba, Jakub Simko |
| 2026 | EACL | MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models. | Martin Hyben, Sebastian Kula, Jn Cegin, Jakub Simko, Ivan Srba, Rbert Mro |
| 2026 | EACL | Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification. | Branislav Pecher, Jn Cegin, Rbert Belanec, Ivan Srba, Jakub Simko, Mria Bielikov |
| 2025 | ACL | MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts. | Dominik Macko, Jakub Kopal, Rbert Mro, Ivan Srba |
| 2025 | ACL | Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation. | Aneta Zugecova, Dominik Macko, Ivan Srba, Rbert Mro, Jakub Kopl, Katarina Marcincinova, Mats Mesarck |
| 2025 | EMNLP | Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation. | Jn Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mria Bielikov, Peter Brusilovsky |
| 2025 | EMNLP | Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance. | Branislav Pecher, Ivan Srba, Mria Bielikov |
| 2025 | SIGIR | Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings. | Matej Mosnar, Adam Skurla, Branislav Pecher, Matus Tibensky, Jan Jakubcik, Adrian Bindas, Peter Sakalik, Ivan Srba |
| 2024 | ACL | Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. | Jn Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mria Bielikov, Peter Brusilovsky |
| 2024 | ACL | A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. | Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Rbert Mro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee |
| 2024 | ACL | Disinformation Capabilities of Large Language Models. | Ivan Vykopal, Mats Pikuliak, Ivan Srba, Rbert Mro, Dominik Macko, Mria Bielikov |
| 2024 | EMNLP | Authorship Obfuscation in Multilingual Machine-Generated Text Detection. | Dominik Macko, Rbert Mro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mria Bielikov |
| 2024 | EMNLP | Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation. | Branislav Pecher, Jn Cegin, Rbert Belanec, Jakub Simko, Ivan Srba, Mria Bielikov |
| 2024 | EMNLP | On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices. | Branislav Pecher, Ivan Srba, Mria Bielikov |
| 2023 | EMNLP | MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. | Dominik Macko, Rbert Mro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Mats Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mria Bielikov |
| 2023 | EMNLP | Multilingual Previously Fact-Checked Claim Retrieval. | Mats Pikuliak, Ivan Srba, Rbert Mro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mria Bielikov |
| 2022 | IJCAI | Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract). | Mats Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Rbert Mro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mria Bielikov |
| 2022 | SIGIR | Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. | Ivan Srba, Branislav Pecher, Mats Tomlein, Rbert Mro, Elena Stefancova, Jakub Simko, Mria Bielikov |
| 2021 | RecSys | An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes. | Mats Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Rbert Mro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mria Bielikov |
| 2020 | SOFSEM | POI Recommendation Based on Locality-Specific Seasonality and Long-Term Trends. | Elena Stefancova, Ivan Srba |
| 2017 | RecSys | Educational Question Routing in Online Student Communities. | Jakub Macina, Ivan Srba, Joseph Jay Williams, Mria Bielikov |
| 2016 | ICWE | Design of CQA Systems for Flexible and Scalable Deployment and Evaluation. | Ivan Srba, Mria Bielikov |
| 2015 | CSCW | Askalot: Community Question Answering as a Means for Knowledge Sharing in an Educational Organization. | Ivan Srba, Mria Bielikov |