| 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 | RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets. | Jn Cegin, Branislav Pecher, Ivan Srba, Jakub Simko |
| 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 | 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 | 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 |
| 2022 | IJCAI | Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification. | Branislav Pecher |
| 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 |