Ivan Srba

89 papers A* 8A 2B 4Journal 48Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models.
ACM Trans. Intell. Syst. Technol.
Ivan Srba, Olesya Razuvayevskaya, João Augusto Leite, Róbert Móro, Ipek Baris Schlicht, Sara Tonelli, Francisco Moreno García, Santiago Barrio Lottmann, Denis Teyssou, Valentin Porcellini, Carolina Scarton, Kalina Bontcheva, Mária Bieliková
2026 J jnl
Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok.
CoRR
Branislav Pecher, Adrian Bindas, Jan Jakubcik, Matús Tuna, Matus Tibensky, Simon Liska, Peter Sakalik, Andrej Suty, Matej Mosnar, Filip Hossner, Ivan Srba
2026 J jnl
BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages.
CoRR
Jason Samuel Lucas, Matt Murtagh-White, Adaku Uchendu, Ali Al-Lawati, Michiharu Yamashita, Dominik Macko, Ivan Srba, Róbert Móro, Dongwon Lee
2026 — conf
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification.
EACL (Findings)
Branislav Pecher, Ján Cegin, Róbert Belanec, Ivan Srba, Jakub Simko, Mária Bieliková
2026 J jnl
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification.
CoRR
Branislav Pecher, Ján Cegin, Róbert Belanec, Ivan Srba, Jakub Simko, Mária Bieliková
2026 J jnl
Beyond Speculation: Measuring the Growing Presence of Large Language Model-Generated Texts in Multilingual Disinformation.
Computer
Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee
2026 A* conf
Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing.
CHI
Sara Solarova, Matús Mesarcík, Branislav Pecher, Ivan Srba
2026 J jnl
Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing.
CoRR
Sara Solarova, Matús Mesarcík, Branislav Pecher, Ivan Srba
2026 — conf
MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models.
EACL (Findings)
Martin Hyben, Sebastian Kula, Ján Cegin, Jakub Simko, Ivan Srba, Róbert Móro
2026 J jnl
MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models.
CoRR
Martin Hyben, Sebastian Kula, Ján Cegin, Jakub Simko, Ivan Srba, Róbert Móro
2026 — conf
PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark.
EACL (Volume 1: Long Papers)
Róbert Belanec, Branislav Pecher, Ivan Srba, Mária Bieliková
2026 — conf
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models.
EACL (System Demonstrations)
Róbert Belanec, Ivan Srba, Mária Bieliková
2026 — conf
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets.
EACL (Volume 1: Long Papers)
Ján Cegin, Branislav Pecher, Ivan Srba, Jakub Simko
2026 J jnl
The DSA's Blind Spot: Algorithmic Audit of Advertising and Minor Profiling on TikTok.
CoRR
Sara Solarova, Matej Mosnar, Matus Tibensky, Jan Jakubcik, Adrian Bindas, Simon Liska, Filip Hossner, Matús Mesarcík, Ivan Srba
2025 J jnl
A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness.
ACM Comput. Surv.
Branislav Pecher, Ivan Srba, Mária Bieliková
2025 J jnl
Authorship Attribution in Multilingual Machine-Generated Texts.
CoRR
Lucio La Cava, Dominik Macko, Róbert Móro, Ivan Srba, Andrea Tagarelli
2025 J jnl
Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation.
CoRR
Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee
2025 A* conf
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance.
EMNLP
Branislav Pecher, Ivan Srba, Mária Bieliková
2025 — conf
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation.
ACL (1)
Aneta Zugecova, Dominik Macko, Ivan Srba, Róbert Móro, Jakub Kopál, Katarina Marcincinova, Matús Mesarcík
2025 J jnl
Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors.
CoRR
Dominik Macko, Róbert Móro, Ivan Srba
2025 — conf
Model-based Algorithmic Auditing of Social Media AI Algorithms.
EWAF
Ivan Srba, Branislav Pecher, Jakub Simko, Róbert Móro, Mária Bieliková
2025 — conf
MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts.
ACL (1)
Dominik Macko, Jakub Kopal, Róbert Móro, Ivan Srba
2025 J jnl
PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark.
CoRR
Róbert Belanec, Branislav Pecher, Ivan Srba, Mária Bieliková
2025 J jnl
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models.
CoRR
Róbert Belanec, Ivan Srba, Mária Bieliková
2025 A* conf
Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings.
SIGIR
Matej Mosnar, Adam Skurla, Branislav Pecher, Matus Tibensky, Jan Jakubcik, Adrian Bindas, Peter Sakalik, Ivan Srba
2025 J jnl
Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings.
CoRR
Matej Mosnar, Adam Skurla, Branislav Pecher, Matus Tibensky, Jan Jakubcik, Adrian Bindas, Peter Sakalik, Ivan Srba
2025 J jnl
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets.
CoRR
Ján Cegin, Branislav Pecher, Ivan Srba, Jakub Simko
2025 J jnl
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval.
CoRR
Qiwei Peng, Róbert Móro, Michal Gregor, Ivan Srba, Simon Ostermann, Marián Simko, Juraj Podrouzek, Matús Mesarcík, Jaroslav Kopcan, Anders Søgaard
2025 — conf
Task Prompt Vectors: Effective Initialization Through Multi-task Soft Prompt Transfer.
ECML/PKDD (8)
Róbert Belanec, Simon Ostermann, Ivan Srba, Mária Bieliková
2025 — conf
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation.
EMNLP (Findings)
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
2024 — conf
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts.
ACL (1)
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
2024 J jnl
A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models.
CoRR
Ivan Srba, Olesya Razuvayevskaya, João Augusto Leite, Róbert Móro, Ipek Baris Schlicht, Sara Tonelli, Francisco Moreno García, Santiago Barrio Lottmann, Denis Teyssou, Valentin Porcellini, Carolina Scarton, Kalina Bontcheva, Mária Bieliková
2024 — conf
Authorship Obfuscation in Multilingual Machine-Generated Text Detection.
EMNLP (Findings)
Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková
2024 J jnl
Authorship Obfuscation in Multilingual Machine-Generated Text Detection.
CoRR
Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková
2024 J jnl
Automatic Combination of Sample Selection Strategies for Few-Shot Learning.
CoRR
Branislav Pecher, Ivan Srba, Mária Bieliková, Joaquin Vanschoren
2024 — conf
Disinformation Capabilities of Large Language Models.
ACL (1)
Ivan Vykopal, Matús Pikuliak, Ivan Srba, Róbert Móro, Dominik Macko, Mária Bieliková
2024 — conf
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation.
ACL (1)
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
2024 J jnl
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation.
CoRR
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
2024 J jnl
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation.
CoRR
Aneta Zugecova, Dominik Macko, Ivan Srba, Róbert Móro, Jakub Kopal, Katarina Marcincinova, Matús Mesarcík
2024 — conf
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation.
EMNLP (Findings)
Branislav Pecher, Ján Cegin, Róbert Belanec, Jakub Simko, Ivan Srba, Mária Bieliková
2024 J jnl
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation.
CoRR
Branislav Pecher, Ján Cegin, Róbert Belanec, Jakub Simko, Ivan Srba, Mária Bieliková
2024 J jnl
Fine-Tuning, Prompting, In-Context Learning and Instruction-Tuning: How Many Labelled Samples Do We Need?
CoRR
Branislav Pecher, Ivan Srba, Mária Bieliková
2024 J jnl
MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts.
CoRR
Dominik Macko, Jakub Kopal, Róbert Móro, Ivan Srba
2024 A* conf
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices.
EMNLP
Branislav Pecher, Ivan Srba, Mária Bieliková
2024 J jnl
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices.
CoRR
Branislav Pecher, Ivan Srba, Mária Bieliková
2024 J jnl
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer.
CoRR
Róbert Belanec, Simon Ostermann, Ivan Srba, Mária Bieliková
2024 J jnl
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification.
CoRR
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
2023 J jnl
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts.
CoRR
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
2023 J jnl
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles.
Trans. Recomm. Syst.
Ivan Srba, Róbert Móro, Matús Tomlein, Branislav Pecher, Jakub Simko, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Adrian Gavornik, Mária Bieliková
2023 J jnl
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.
CoRR
Olesya Razuvayevskaya, Ben Wu, João Augusto Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 J jnl
Disinformation Capabilities of Large Language Models.
CoRR
Ivan Vykopal, Matús Pikuliak, Ivan Srba, Róbert Móro, Dominik Macko, Mária Bieliková
2023 J jnl
Hate speech operationalization: a preliminary examination of hate speech indicators and their structure.
Complex Intell. Syst.
Jana Papcunová, Marcel Martoncik, Denisa Fedáková, Michal Kentos, Miroslava Bozogánová, Ivan Srba, Róbert Móro, Matús Pikuliak, Marián Simko, Matús Adamkovic
2023 J jnl
Is it indeed bigger better? The comprehensive study of claim detection LMs applied for disinformation tackling.
CoRR
Martin Hyben, Sebastian Kula, Ivan Srba, Róbert Móro, Jakub Simko
2023 — conf
KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection.
SemEval@ACL
Timo Hromadka, Timotej Smolen, Tomas Remis, Branislav Pecher, Ivan Srba
2023 J jnl
KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection.
CoRR
Timo Hromadka, Timotej Smolen, Tomas Remis, Branislav Pecher, Ivan Srba
2023 A* conf
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.
EMNLP
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
2023 J jnl
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.
CoRR
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
2023 A* conf
Multilingual Previously Fact-Checked Claim Retrieval.
EMNLP
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková
2023 J jnl
Multilingual Previously Fact-Checked Claim Retrieval.
CoRR
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková
2023 J jnl
On the Effects of Randomness on Stability of Learning with Limited Labelled Data: A Systematic Literature Review.
CoRR
Branislav Pecher, Ivan Srba, Mária Bieliková
2022 J jnl
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes.
CoRR
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
2022 J jnl
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles.
CoRR
Ivan Srba, Róbert Móro, Matús Tomlein, Branislav Pecher, Jakub Simko, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Adrian Gavornik, Mária Bieliková
2022 J jnl
Automated, not Automatic: Needs and Practices in European Fact-checking Organizations as a basis for Designing Human-centered AI Systems.
CoRR
Andrea Hrckova, Róbert Móro, Ivan Srba, Jakub Simko, Mária Bieliková
2022 A* conf
Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract).
IJCAI
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
2022 A* conf
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims.
SIGIR
Ivan Srba, Branislav Pecher, Matús Tomlein, Róbert Móro, Elena Stefancova, Jakub Simko, Mária Bieliková
2022 J jnl
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims.
CoRR
Ivan Srba, Branislav Pecher, Matús Tomlein, Róbert Móro, Elena Stefancova, Jakub Simko, Mária Bieliková
2022 J jnl
Quantitative and qualitative analysis of linking patterns of mainstream and partisan online news media in Central Europe.
Online Inf. Rev.
Andrea Hrckova, Róbert Móro, Ivan Srba, Mária Bieliková
2021 J jnl
Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective.
CoRR
Ivan Srba, Gabriele Lenzini, Matús Pikuliak, Samuel Pecar
2021 A conf
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes.
RecSys
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
2021 — conf
Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading.
UMAP (Adjunct Publication)
Jakub Simko, Matús Tomlein, Branislav Pecher, Róbert Móro, Ivan Srba, Elena Stefancova, Andrea Hrckova, Michal Kompan, Juraj Podrouzek, Mária Bieliková
2020 — conf
Examining the Linking Patterns and Link Building Strategies of Mainstream and Partisan Online News Media in Central Europe.
DIONE
Andrea Hrckova, Róbert Móro, Ivan Srba, Mária Bieliková
2020 — conf
FireAnt: Claim-Based Medical Misinformation Detection and Monitoring.
ECML/PKDD (5)
Branislav Pecher, Ivan Srba, Róbert Móro, Matús Tomlein, Mária Bieliková
2020 B conf
POI Recommendation Based on Locality-Specific Seasonality and Long-Term Trends.
SOFSEM
Elena Stefancova, Ivan Srba
2019 J jnl
Employing community question answering for online discussions in university courses: Students' perspective.
Comput. Educ.
Ivan Srba, Milos Savic, Mária Bieliková, Mirjana Ivanovic, Cesare Pautasso
2017 — conf
Education-specific Tag Recommendation in CQA Systems.
UMAP (Adjunct Publication)
Peter Babinec, Ivan Srba
2017 A conf
Educational Question Routing in Online Student Communities.
RecSys
Jakub Macina, Ivan Srba, Joseph Jay Williams, Mária Bieliková
2016 J jnl
A Comprehensive Survey and Classification of Approaches for Community Question Answering.
ACM Trans. Web
Ivan Srba, Mária Bieliková
2016 B conf
Design of CQA Systems for Flexible and Scalable Deployment and Evaluation.
ICWE
Ivan Srba, Mária Bieliková
2016 — conf
Exploiting Content Quality and Question Difficulty in CQA Reputation Systems.
NetSci-X
Adrian Huna, Ivan Srba, Mária Bieliková
2016 J jnl
Why is Stack Overflow Failing? Preserving Sustainability in Community Question Answering.
IEEE Softw.
Ivan Srba, Mária Bieliková
2015 — conf
Askalot: Community Question Answering as a Means for Knowledge Sharing in an Educational Organization.
CSCW Companion
Ivan Srba, Mária Bieliková
2015 J jnl
Dynamic Group Formation as an Approach to Collaborative Learning Support.
IEEE Trans. Learn. Technol.
Ivan Srba, Mária Bieliková
2015 B conf
Utilizing Non-QA Data to Improve Questions Routing for Users with Low QA Activity in CQA.
ASONAM
Ivan Srba, Marek Grznar, Mária Bieliková
2014 — ch.
ALEF: From Application to Platform for Adaptive Collaborative Learning.
Recommender Systems for Technology Enhanced Learning
Mária Bieliková, Marián Simko, Michal Barla, Jozef Tvarozek, Martin Labaj, Róbert Móro, Ivan Srba, Jakub Sevcech
2013 — conf
Adaptive Support for Educational Question Answering.
EC-TEL Doctoral Consortium
Ivan Srba
2013 — conf
Designing Learning Environments Based on Collaborative Content Creation.
ECTEL-meets-ECSCW
Ivan Srba, Mária Bieliková
2012 B conf
Encouragement of Collaborative Learning Based on Dynamic Groups.
EC-TEL
Ivan Srba, Mária Bieliková
2011 — conf
Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning.
Web Intelligence/IAT Workshops
Róbert Móro, Ivan Srba, Maros Uncík, Mária Bieliková, Marián Simko
2010 — conf
Tracing Strength of Relationships in Social Networks.
Web Intelligence/IAT Workshops
Ivan Srba, Mária Bieliková