Ivan Srba

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 44

Top Topics

Tag Recommendation

Question Answer

Top Venues

UMAP (Adjunct Publication)

Publications

Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. ACL (1) (2024)
Branislav Pecher, Ján Cegin, Róbert Belanec, Jakub Simko, Ivan Srba, Mária Bieliková
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation. CoRR (2024)
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. CoRR (2024)
Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková
Authorship Obfuscation in Multilingual Machine-Generated Text Detection. CoRR (2024)
Branislav Pecher, Ivan Srba, Mária Bieliková, Joaquin Vanschoren
Automatic Combination of Sample Selection Strategies for Few-Shot Learning. CoRR (2024)
Branislav Pecher, Ivan Srba, Mária Bieliková
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices. CoRR (2024)
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. ACL (1) (2024)
Branislav Pecher, Ivan Srba, Mária Bieliková
Fine-Tuning, Prompting, In-Context Learning and Instruction-Tuning: How Many Labelled Samples Do We Need? CoRR (2024)
Dominik Macko, Jakub Kopal, Róbert Móro, Ivan Srba
MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts. CoRR (2024)
Branislav Pecher, Ivan Srba, Mária Bieliková
On the Effects of Randomness on Stability of Learning with Limited Labelled Data: A Systematic Literature Review. CoRR (2023)
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. CoRR (2023)
Olesya Razuvayevskaya, Ben Wu, João Augusto Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification. CoRR (2023)
Ivan Vykopal, Matús Pikuliak, Ivan Srba, Róbert Móro, Dominik Macko, Mária Bieliková
Disinformation Capabilities of Large Language Models. CoRR (2023)
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. CoRR (2023)
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková
Multilingual Previously Fact-Checked Claim Retrieval. CoRR (2023)
Timo Hromadka, Timotej Smolen, Tomas Remis, Branislav Pecher, Ivan Srba
KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection. SemEval@ACL (2023)
Timo Hromadka, Timotej Smolen, Tomas Remis, Branislav Pecher, Ivan Srba
KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection. CoRR (2023)
Martin Hyben, Sebastian Kula, Ivan Srba, Róbert Móro, Jakub Simko
Is it indeed bigger better? The comprehensive study of claim detection LMs applied for disinformation tackling. CoRR (2023)
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. EMNLP (2023)
Ivan Srba, Róbert Móro, Matús Tomlein, Branislav Pecher, Jakub Simko, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Adrian Gavornik, Mária Bieliková
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. Trans. Recomm. Syst. 1 (1) (2023)
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková
Multilingual Previously Fact-Checked Claim Retrieval. EMNLP (2023)
Andrea Hrckova, Róbert Móro, Ivan Srba, Jakub Simko, Mária Bieliková
Automated, not Automatic: Needs and Practices in European Fact-checking Organizations as a basis for Designing Human-centered AI Systems. CoRR (2022)
Ivan Srba, Branislav Pecher, Matús Tomlein, Róbert Móro, Elena Stefancova, Jakub Simko, Mária Bieliková
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. CoRR (2022)
Andrea Hrckova, Róbert Móro, Ivan Srba, Mária Bieliková
Quantitative and qualitative analysis of linking patterns of mainstream and partisan online news media in Central Europe. Online Inf. Rev. 46 (5) (2022)
Ivan Srba, Róbert Móro, Matús Tomlein, Branislav Pecher, Jakub Simko, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Adrian Gavornik, Mária Bieliková
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. CoRR (2022)
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract). IJCAI (2022)
Ivan Srba, Branislav Pecher, Matús Tomlein, Róbert Móro, Elena Stefancova, Jakub Simko, Mária Bieliková
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. SIGIR (2022)
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes. CoRR (2022)
Jakub Simko, Matús Tomlein, Branislav Pecher, Róbert Móro, Ivan Srba, Elena Stefancova, Andrea Hrckova, Michal Kompan, Juraj Podrouzek, Mária Bieliková
Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading. UMAP (Adjunct Publication) (2021)
Ivan Srba, Gabriele Lenzini, Matús Pikuliak, Samuel Pecar
Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective. CoRR (2021)
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes. RecSys (2021)
Branislav Pecher, Ivan Srba, Róbert Móro, Matús Tomlein, Mária Bieliková
FireAnt: Claim-Based Medical Misinformation Detection and Monitoring. ECML/PKDD (5) (2020)
Andrea Hrckova, Róbert Móro, Ivan Srba, Mária Bieliková
Examining the Linking Patterns and Link Building Strategies of Mainstream and Partisan Online News Media in Central Europe. DIONE (2020)
Elena Stefancova, Ivan Srba
POI Recommendation Based on Locality-Specific Seasonality and Long-Term Trends. SOFSEM (2020)
Ivan Srba, Milos Savic, Mária Bieliková, Mirjana Ivanovic, Cesare Pautasso
Employing community question answering for online discussions in university courses: Students' perspective. Comput. Educ. 135 (2019)
Peter Babinec, Ivan Srba
Education-specific Tag Recommendation in CQA Systems. UMAP (Adjunct Publication) (2017)
Jakub Macina, Ivan Srba, Joseph Jay Williams, Mária Bieliková
Educational Question Routing in Online Student Communities. RecSys (2017)
Ivan Srba, Mária Bieliková
A Comprehensive Survey and Classification of Approaches for Community Question Answering. ACM Trans. Web 10 (3) (2016)
Ivan Srba, Mária Bieliková
Design of CQA Systems for Flexible and Scalable Deployment and Evaluation. ICWE (2016)
Ivan Srba, Mária Bieliková
Why is Stack Overflow Failing? Preserving Sustainability in Community Question Answering. IEEE Softw. 33 (4) (2016)
Adrian Huna, Ivan Srba, Mária Bieliková
Exploiting Content Quality and Question Difficulty in CQA Reputation Systems. NetSci-X (2016)
Ivan Srba, Mária Bieliková
Dynamic Group Formation as an Approach to Collaborative Learning Support. IEEE Trans. Learn. Technol. 8 (2) (2015)
Ivan Srba, Mária Bieliková
Askalot: Community Question Answering as a Means for Knowledge Sharing in an Educational Organization. CSCW Companion (2015)
Ivan Srba, Marek Grznar, Mária Bieliková
Utilizing Non-QA Data to Improve Questions Routing for Users with Low QA Activity in CQA. ASONAM (2015)
Ivan Srba, Mária Bieliková
Designing Learning Environments Based on Collaborative Content Creation. ECTEL-meets-ECSCW (2013)
Ivan Srba
Adaptive Support for Educational Question Answering. EC-TEL Doctoral Consortium (2013)
Ivan Srba, Mária Bieliková
Encouragement of Collaborative Learning Based on Dynamic Groups. EC-TEL (2012)
Róbert Móro, Ivan Srba, Maros Uncík, Mária Bieliková, Marián Simko
Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning. Web Intelligence/IAT Workshops (2011)
Ivan Srba, Mária Bieliková
Tracing Strength of Relationships in Social Networks. Web Intelligence/IAT Workshops (2010)