Low Resource Artificial Intelligence

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Publications

Improving Multi-Task Parameter-Efficient Fine-Tuning

Auteurs: Robert Belanec, Ivan Srba, Maria Bielikova
Éditeur: Springer

Riding the Carousel: The First Extensive Eye Tracking Analysis of Browsing Behavior in Carousel Recommenders

Auteurs: Santiago de Leon-Martinez, Robert Moro, Branislav Kveton, Maria Bielikova
Publié dans: Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026
Éditeur: ACM
DOI: 10.1145/3742413.3789166

On Multilingual Encoder Language Model Compression for Low-Resource Languages

Auteurs: Daniil Gurgurov, Michal Gregor, Josef Van Genabith, Simon Ostermann
Publié dans: The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2026
Éditeur: Association for Computational Linguistics
DOI: 10.18653/V1/2025.IJCNLP-SRW.5

The Brittle Compass: Navigating LLM Prompt Sensitivity in Slovak Migration Media Discourse

Auteurs: Jaroslav Kopčan, Marek Šuppa, Samuel Harvan
Éditeur: INCOMA Ltd.

An Appraisal Theoretic Approach to Modelling Affect Flow in Conversation Corpora

Auteurs: Alok Debnath, Yvette Graham, Owen Conlan
Publié dans: 2025
Éditeur: Association for Computational Linguistics

Towards Explainable Malware Clustering

Auteurs: Martin Mocko, Jaroslav Kopčan, Daniela Chudá
Éditeur: Slovak Academy of Sciences

mdok of KInIT at PAN 2025: Robustly Fine-tuned LLM for Binary and Multiclass AI-Generated Text Detection

Auteurs: Dominik Macko
Éditeur: CEUR Workshop Proceedings

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

Auteurs: Sara Solarova, Matúš Mesarčík, Branislav Pecher, Ivan Srba
Publié dans: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Éditeur: ACM
DOI: 10.1145/3772318.3791774

mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code

Auteurs: Adam Skurla, Dominik Macko, Jakub Simko
Éditeur: Association for Computational Linguistics

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

Auteurs: Tatiana Anikina, Ivan Vykopal, Sebastian Kula, Ravi Kiran Chikkala, Natalia Skachkova, Jing Yang, Veronika Solopova, Vera Schmitt, Simon Ostermann
Éditeur: CEUR Workshop Proceedings

o-MEGA: Optimized Methods for Explanation Generation and Analysis

Auteurs: Ľuboš Kriš, Jaroslav Kopčan, Qiwei Peng, Andrej Ridzik, Marcel Veselý, Martin Tamajka
Publié dans: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2025
Éditeur: Association for Computational Linguistics

SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation

Auteurs: Marek Suppa, Andrej Ridzik, Daniel Hládek, Natália Kňažeková, Viktória Ondrejová
Éditeur: Association for Computational Linguistics

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

Auteurs: Jan Cegin, Branislav Pecher, Ivan Srba, Jakub Simko
Éditeur: Association for Computational Linguistics

Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation

Auteurs: Daniil Gurgurov, Katharina Trinley, Yusser Al Ghussin, Tanja Baeumel, Josef van Genabith, Simon Ostermann
Éditeur: Association for Computational Linguistics

AI Research Is Not Magic, It Has to Be Reproducible and Responsible: Challenges in the AI Field from the Perspective of Its PhD Students

Auteurs: Andrea Hrckova, Jennifer Renoux, Rafael Tolosana Calasanz, Daniela Chuda, Martin Tamajka, Jakub Simko
Publié dans: Lecture Notes in Computer Science, Digital Humanism, 2026
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-11108-1_34

CLaS-Bench: A Cross-Lingual Alignment and Steering Benchmark

Auteurs: Daniil Gurgurov, Yusser Al Ghussin, Tanja Baeumel, Cheng-Ting Chou, Patrick Schramowski, Marius Mosbach, Josef van Genabith, Simon Ostermann
Publié dans: 2026
Éditeur: Association for Computational Linguistics

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

Auteurs: Robert Belanec, Ivan Srba, Maria Bielikova
Éditeur: Association for Computational Linguistics

From Latent to Observable Position-Based Click Models in Carousel Interfaces

Auteurs: Santiago de Leon-Martinez, Robert Moro, Branislav Kveton, Maria Bielikova
Publié dans: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2026
Éditeur: ACM
DOI: 10.1145/3770855.3818211

Multilingual Political Views of Large Language Models: Identification and Steering

Auteurs: Daniil Gurgurov, Katharina Trinley, Ivan Vykopal, Josef Van Genabith, Simon Ostermann, Roberto Zamparelli
Publié dans: Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2026
Éditeur: The Asian Federation of Natural Language Processing and The Association for Computational Linguistics

Towards Trustworthy Multi-stakeholder Recommender Systems

Auteurs: Katarina Marcincinova, Adrian Gavornik, Matus Mesarcik, Michal Kompan
Éditeur: PMLR (Proceedings of Machine Learning Research)

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

Auteurs: Robert Belanec, Branislav Pecher, Ivan Srba, Maria Bielikova
Éditeur: Association for Computational Linguistics

Improving Malware Clustering Through Self-Supervised Learning

Auteurs: Martin Mocko, Daniela Chudá
Éditeur: Slovak Academy of Sciences

BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages

Auteurs: Jason Lucas, Matt Murtagh-White, Adaku Uchendu, Ali Al-Lawati, Michiharu Yamashita, Dominik Macko, Ivan Srba, Robert Moro, Dongwon Lee
Publié dans: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2026
Éditeur: ACM
DOI: 10.1145/3770855.3817546

mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection

Auteurs: Dominik Macko, Alok Debnath, Jakub Simko
Éditeur: Association for Computational Linguistics

Between Principle and Practice: Evaluating the EU AI Act Through the Lens of Digital Humanism

Auteurs: Matúš Mesarčík, Natália Slosiarová
Publié dans: Lecture Notes in Computer Science, Digital Humanism, 2026
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-11108-1_23

Qualitative Evaluation of Explanations in Malware Analysis

Auteurs: Jaroslav Kopčan, Martin Mocko, Daniela Chudá
Éditeur: Slovak Academy of Sciences

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