Home > Research > Publications

Publications

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

Evaluation of Multilingual LLMs Personalized Text Generation Capabilities Targeting Groups and Social-Media Platforms

Macko, D. – , 2026

PerQ: Efficient Evaluation of Multilingual Text Personalization Quality

Macko, D., Pulver, A. – , 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

RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets

Cegin, J., Pecher, B., Srba, I., Simko, J. – Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models

Hyben, M., Kula, S., Cegin, J., Simko, J., Srba, I., Moro, R. – Findings of the Association for Computational Linguistics: EACL 2026, 2026

Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing

Solarova, S., Mesarčík, M., Pecher, B., Srba, I. – Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
, 2026

AI Research is not Magic, it has to be Reproducible and Responsible: Challenges in the AI field from the Perspective of its PhD Students

Hrckova, A., Renoux, J., Calasanz, R. T., Chuda, D., Tamajka, M., Simko, J. – Digital Humanism, 2025

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

Network intrusion datasets: A survey, limitations, and recommendations

Goldschmidt, P., Chudá, D. – Computers & Security, 2025

Regulating AI for a truthful tomorrow: addressing disinformation in the EU Artificial Intelligence Act

Mesarcik, M., Slosiarova, N. – International Journal of Law and Information Technology, 2025

Soft Language Prompts for Language Transfer

Vykopal, I., Ostermann, S., Simko M. – Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) – NACL 2025, 2025

skLEP: A Slovak General Language Understanding Benchmark

Suppa, M., Ridzik A., Hládek, D., Javůrek, T., Ondrejová, V., Sásiková, K., Tamajka, M. and Simko, M. – Findings of the Association for Computational Linguistics: ACL 2025, 2025

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages

Gurgurov, D., Vykopal, I., van Genabith, J., Ostermann, S. – Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

CV-Probes: Studying the Interplay of Lexical and World Knowledge in Visually Grounded Verb Understanding

Benova, I., Gregor, M. and Gatt, A. – Proceedings of the Annual Meeting of the Cognitive Science Society 2025, 2025

When the Dictionary Strikes Back: A Case Study on Slovak Migration Location Term Extraction and NER via Rule-Based vs. LLM Methods

Blšták, M., Kopčan J., Suppa, M., Havran, S., Findor, A., Takac, M. and Simko, M. – Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025), 2025

MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts

Macko, D., Kopál, J., Moro, R., Srba, I. – Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings

Mosnar, M., Skurla, A., Pecher, B., Tibensky, M., Jakubčík, J., Bindas, A., Sakalík, P., Srba, I. – SIGIR ’25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation

Zugecova, A., Macko, D., Srba, I., Moro, R., Kopál, J., Marcinčinová, K., Mesarčík, M. – Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?

Čegiň, J., Šimko, J., Brusilovsky, P. – Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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

Towards Trustworthy Multi-stakeholder Recommender Systems

Katarína Marcinčinová, Adrian Gavornik, Matúš Mesarčík, Michal Kompan – Proceedings of Fourth European Workshop on Algorithmic Fairness 2025, 2025

Clustering Malware at Scale: A First Full-Benchmark Study

Mocko, M., Ševcech, J., Chudá, D. – Availability, Reliability and Security. ARES 2025, 2025

dfkinit2b at CheckThat! 2025: Leveraging LLMs and Ensemble of Methods for Multilingual Claim Normalization

Anikina, T., Vykopal, I., Kula, S., Chikkala, R. K., Skachkova, N., Yang, J., Solopova, V., Schmitt, V., Ostermann, S. – Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2025), 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

Do Echo Top Heights Improve Deep Learning Rainfall Nowcasts? A Case Study in the Netherlands

Pavlík, P., Schleiss, M., Bou Ezzedine, A., Rozinajová, V. – Transactions on Large-Scale Data- and Knowledge-Centered Systems LVIII, 2025

Fully differentiable Lagrangian convolutional neural network for physics-informed precipitation nowcasting

Pavlík, P., Výboh, M., Bou Ezzedine, A., Rozinajová, V. – Applied Computing and Geosciences, 2025

Large Language Models for Multilingual Previously Fact-Checked Claim Detection

Vykopal, I., Pikuliak, M., Ostermann, S., Anikina, T., Gregor, M., Šimko, M. – Findings of the Association for Computational Linguistics: EMNLP 2025, 2025