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A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models

Srba, I., Razuvayevskaya, O., Leite, J. A., Moro, R., Schlicht, I. B., Tonelli, S., Moreno García, F., Barrio Lottmann, S., Teyssou, D., Porcellini, V., Scarton, C., Bontcheva, K., Bielikova, M. – ACM Transactions on Intelligent Systems and Technology, 2026

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models

Belanec, R., Srba, I., Bielikova, M. – Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2026

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark

Belanec, R., Pecher, B., Srba, I., Bielikova, M. – Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification

Pecher, B., Cegin, J., Belanec, R., Srba, I., Simko, J., Bielikova, M. – Findings of the Association for Computational Linguistics: EACL 2026, 2026

Automatic Combination of Sample Selection Strategies for Few-Shot Learning

Pecher, B., Srba, I., Bielikova M., Vanschoren, J. – Findings of the Association for Computational Linguistics: ACL 2026, 2026

Automated, not Automatic: Needs and practices in European fact-checking organizations as a Basis for Designing Human-Centered AI Systems

Hrckova, A., Moro, R., Srba, I., Simko, J., Bielikova, M. – ACM Journal on Responsible Computing, 2025

RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces

Leon‑Martinez, S., Kang, J., Moro, R., de Rijke, M., Kveton, B., Oosterhuis, H., Bielikova, M. – SIGIR ’25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Model-based Algorithmic Auditing of Social Media AI Algorithms

Srba, I., Pecher, B., Simko, J., Moro, R. & Bielikova, M. – Proceedings of Fourth European Workshop on Algorithmic Fairness, PMLR, 2025

Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance

Pecher, B., Srba, I., Bielikova, M. – In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Long Papers., 2025

Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification

Cegin, J., Pecher, B., Simko, J., Srba, I., Bielikova, M., Brusilovsky, P. – In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation

Cegin, J., Pecher, B., Simko, J., Srba, I., Bielikova, M., Brusilovsky, P. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) – ACL 2024, 2024

A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness

Pecher, B., Srba, I., Bielikova, M. – ACM Computing Surveys (ACM CSUR), 2024

Disinformation Capabilities of Large Language Models

Vykopal, I., Pikuliak, M., Srba, I., Moro, R., Macko, D., Bielikova, M. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) – ACL 2024, 2024

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices.

Pecher, B., Srba, I., Bielikova, M. – Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation

Pecher, B., Cegin, J., Belanec, R., Simko, J., Srba, I., Bielikova, M. – Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Task Prompt Vectors: Effective Initialization Through Multi-task Soft Prompt Transfer

Belanec, R., Ostermann, S., Srba, I., Bielikova, M. – Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2024

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Macko, D., Moro, R., Uchendu, A., Srba, I., Lucas, J. S., Yamashita, M., Tripto, N. I., Lee, D., Simko, J., Bielikova, M. – EMNLP Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles

Srba, I., Moro, R., Tomlein, M., Pecher, B., Simko, J., Stefancova, E., Kompan, M., Hrckova, A., Podrouzek, J., Gavornik, A., Bielikova, M. – ACM Transactions on Recommender Systems (ACM TORS), 2023

Stance on the regulation of Generative Artificial Intelligence

Mesarcik, M., Slosiarova, N., Podrouzek, J., Bielikova, M. – KInIT report, 2023

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark

Macko, D., Moro, R., Uchendu, A,, Lucas, J., Yamashita, M., Pikuliak, M., Srba, I., Le, T., Lee, D., Simko, J., Bielikova, M. – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing – EMNLP 2023, 2023

Multilingual Previously Fact-Checked Claim Retrieval

Pikuliak, M., Srba, I., Moro, R., Hromadka, T., Smoleň, T., Melišek, M., Vykopal, I., Simko, J., Podroužek, J., Bielikova, M. – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing – EMNLP 2023, 2023

Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis

Leon-Martinez, S., Moro, R., Bielikova, M. – ETRA ’23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

Considering temporal aspects in recommender systems: a survey

Bogina, V., Kuflik, T., Jannach, D., Bielikova, M., Kompan, M., Trattner, C. – User Modeling and User-Adapted Interaction, 2023

Anger or happiness superiority effect: A face in the crowd study involving nine emotions expressed by nine people

Halamová, J., Strnádelová, B., Kanovský, M., Móro, R., Bielikova, M. – Current Psychology, 2022

Analysis of selected regulations proposed by the European Commission and technological solutions in relation to the dissemination of disinformation and the behaviour of online platforms

Mesarcik, M., Moro, R., Kompan, M., Podrouzek, J., Simko, J., Bielikova, M. – Study prepared by KInIT based on an order from Miriam Lexmann, Member of the European Parliament. , 2022

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims

Srba, I., Pecher, B., Tomlein, M., Moro, R., Stefancova, E., Simko, J., Bielikova, M. – Proceedings of the 45th International ACM Conference on Research and Development in Information Retrieval – SIGIR 2022, 2022

Reconsidering the regulation of facial recognition in public spaces

Solarova, S., Podrouzek, J., Mesarcik, M., Gavornik, A., Bielikova, M. – AI and Ethics, 2022

Utilising the Assessment List for Trustworthy AI: Three Areas of Improvement

Gavornik, A, Podrouzek, J., Mesarcik, M., Solarova, S., Oresko, S., Bielikova, M. – Proceedings of the 2nd Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies – AIofAI 2022, 2022

Black-box Audit of YouTube’s Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)

Tomlein, M., Pecher, B., Simko, J., Srba, I., Moro, R., Stefancova, E., Kompan, M., Hrckova, A., Podrouzek, J., Bielikova, M. – Thirty-First International Joint Conference on Artificial Intelligence Sister Conferences Best Papers, 2022

Face in the crowd and level of self-criticism

Halamova, J., Kanovsky, M., Strnadelova, B., Moro, R., Bielikova, M. – Advances in Cognitive Psychology, 2022