Low Resource Artificial Intelligence

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Improving Multi-Task Parameter-Efficient Fine-Tuning

Autori: Robert Belanec, Ivan Srba, Maria Bielikova
Editore: Springer

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

Autori: Santiago de Leon-Martinez, Robert Moro, Branislav Kveton, Maria Bielikova
Pubblicato in: Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026
Editore: ACM
DOI: 10.1145/3742413.3789166

On Multilingual Encoder Language Model Compression for Low-Resource Languages

Autori: Daniil Gurgurov, Michal Gregor, Josef Van Genabith, Simon Ostermann
Pubblicato in: 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
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2025.IJCNLP-SRW.5

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

Autori: Jaroslav Kopčan, Marek Šuppa, Samuel Harvan
Editore: INCOMA Ltd.

An Appraisal Theoretic Approach to Modelling Affect Flow in Conversation Corpora

Autori: Alok Debnath, Yvette Graham, Owen Conlan
Pubblicato in: 2025
Editore: Association for Computational Linguistics

Towards Explainable Malware Clustering

Autori: Martin Mocko, Jaroslav Kopčan, Daniela Chudá
Editore: Slovak Academy of Sciences

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

Autori: Dominik Macko
Editore: CEUR Workshop Proceedings

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

Autori: Sara Solarova, Matúš Mesarčík, Branislav Pecher, Ivan Srba
Pubblicato in: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Editore: ACM
DOI: 10.1145/3772318.3791774

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

Autori: Adam Skurla, Dominik Macko, Jakub Simko
Editore: Association for Computational Linguistics

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

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

o-MEGA: Optimized Methods for Explanation Generation and Analysis

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

SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation

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

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

Autori: Jan Cegin, Branislav Pecher, Ivan Srba, Jakub Simko
Editore: Association for Computational Linguistics

Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation

Autori: Daniil Gurgurov, Katharina Trinley, Yusser Al Ghussin, Tanja Baeumel, Josef van Genabith, Simon Ostermann
Editore: 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

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

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

Autori: Daniil Gurgurov, Yusser Al Ghussin, Tanja Baeumel, Cheng-Ting Chou, Patrick Schramowski, Marius Mosbach, Josef van Genabith, Simon Ostermann
Pubblicato in: 2026
Editore: Association for Computational Linguistics

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

Autori: Robert Belanec, Ivan Srba, Maria Bielikova
Editore: Association for Computational Linguistics

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

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

Multilingual Political Views of Large Language Models: Identification and Steering

Autori: Daniil Gurgurov, Katharina Trinley, Ivan Vykopal, Josef Van Genabith, Simon Ostermann, Roberto Zamparelli
Pubblicato in: 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
Editore: The Asian Federation of Natural Language Processing and The Association for Computational Linguistics

Towards Trustworthy Multi-stakeholder Recommender Systems

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

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

Autori: Robert Belanec, Branislav Pecher, Ivan Srba, Maria Bielikova
Editore: Association for Computational Linguistics

Improving Malware Clustering Through Self-Supervised Learning

Autori: Martin Mocko, Daniela Chudá
Editore: Slovak Academy of Sciences

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

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

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

Autori: Dominik Macko, Alok Debnath, Jakub Simko
Editore: Association for Computational Linguistics

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

Autori: Matúš Mesarčík, Natália Slosiarová
Pubblicato in: Lecture Notes in Computer Science, Digital Humanism, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-11108-1_23

Qualitative Evaluation of Explanations in Malware Analysis

Autori: Jaroslav Kopčan, Martin Mocko, Daniela Chudá
Editore: Slovak Academy of Sciences

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