Home > Research > Publications

Publications

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

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

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

On Using Self-Report Studies to Analyze Language Models

Pikuliak, M. – Northern European Journal of Language Technology, 2025

Slovak Conceptual Dictionary

Blšták, M. – arXiv, 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

Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case

Kozik, R., Kątek, G., Gackowska, M., Kula, S., Komorniczak, J., Ksieniewicz, P., Pawlicka, A, Pawlicki, M., Choraś, M. – Neurocomputing, 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

A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages

Anikina, T., Cegin, J., Simko, J., Ostermann, S. – In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Long Papers., 2025

Multilingual vs Crosslingual Retrieval of Fact-checked Claims: A Tale of Two Approaches

M. Ramponi, A., Rovera, M., Moro, R., Tonelli, S. – In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Long Papers., 2025

o-MEGA: Optimized Methods for Explanation Generation and Analysis

Kriš, Ľ., Kopčan, J., Peng, Q., Ridzik, A., Veselý, M., Tamajka, M. – Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations., 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

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

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

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

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

Towards Trustworthy Multi-stakeholder Recommender Systems

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

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

Clustering Malware at Scale: A First Full-Benchmark Study

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

Innovative Approach to Use Large Language Models (LLM) for Continues Annotation of Disinformation

Kula, S., Kozik, R., Choraś, M. – 2025 IEEE International Conference on Data Mining Workshops, ICDMW 2025, 2025

Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors

Macko, D., Moro, R., Srba, I. – , 2025

CEAID: Benchmark of Multilingual Machine-Generated Text Detection Methods for Central European Languages

Macko, D., Kopal, J. – , 2025

Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models

Kang, J., de Rijke, M., de Leon-Martinez, S., Oosterhuis, H. – ICTIR 2025, 2025