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2020 – today
- 2024
[c24]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: 6608-6625- [c23]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: 13148-13171 - [c22]Ivan Vykopal, Matús Pikuliak, Ivan Srba, Róbert Móro, Dominik Macko, Mária Bieliková:
Disinformation Capabilities of Large Language Models. ACL (1) 2024: 14830-14847 - [i21]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 abs/2401.06643 (2024) - [i20]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 abs/2401.07867 (2024) - [i19]Branislav Pecher, Ivan Srba, Mária Bieliková, Joaquin Vanschoren:
Automatic Combination of Sample Selection Strategies for Few-Shot Learning. CoRR abs/2402.03038 (2024) - [i18]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 abs/2402.12817 (2024) - [i17]Branislav Pecher, Ivan Srba, Mária Bieliková:
Fine-Tuning, Prompting, In-Context Learning and Instruction-Tuning: How Many Labelled Samples Do We Need? CoRR abs/2402.12819 (2024) - [i16]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 abs/2406.12471 (2024) - [i15]Dominik Macko, Jakub Kopal, Róbert Móro, Ivan Srba:
MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts. CoRR abs/2406.12549 (2024) - [i14]Róbert Belanec, Simon Ostermann, Ivan Srba, Mária Bieliková:
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer. CoRR abs/2408.01119 (2024) - 2023
- [j6]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): 1-33 (2023) - [c21]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: 9960-9987 - [c20]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: 16477-16500 - [c19]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: 629-637 - [i13]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 abs/2304.11924 (2023) - [i12]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 abs/2305.07991 (2023) - [i11]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 abs/2308.07282 (2023) - [i10]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 abs/2310.13606 (2023) - [i9]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 abs/2311.06121 (2023) - [i8]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 abs/2311.08374 (2023) - [i7]Ivan Vykopal, Matús Pikuliak, Ivan Srba, Róbert Móro, Dominik Macko, Mária Bieliková:
Disinformation Capabilities of Large Language Models. CoRR abs/2311.08838 (2023) - [i6]Branislav Pecher, Ivan Srba, Mária Bieliková:
On the Effects of Randomness on Stability of Learning with Limited Labelled Data: A Systematic Literature Review. CoRR abs/2312.01082 (2023) - 2022
- [j5]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): 954-973 (2022) - [c18]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: 5349-5353 - [c17]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: 2949-2959 - [i5]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 abs/2203.13769 (2022) - [i4]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 abs/2204.12294 (2022) - [i3]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 abs/2210.10085 (2022) - [i2]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 abs/2211.12143 (2022) - 2021
- [c16]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: 1-11 - [c15]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: 411-414 - [i1]Ivan Srba, Gabriele Lenzini, Matús Pikuliak, Samuel Pecar:
Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective. CoRR abs/2103.10489 (2021) - 2020
- [c14]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: 133-146 - [c13]Branislav Pecher, Ivan Srba, Róbert Móro, Matús Tomlein, Mária Bieliková:
FireAnt: Claim-Based Medical Misinformation Detection and Monitoring. ECML/PKDD (5) 2020: 555-559 - [c12]Elena Stefancova, Ivan Srba:
POI Recommendation Based on Locality-Specific Seasonality and Long-Term Trends. SOFSEM 2020: 338-349
2010 – 2019
- 2019
- [j4]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: 75-90 (2019) - 2017
- [c11]Jakub Macina, Ivan Srba, Joseph Jay Williams, Mária Bieliková:
Educational Question Routing in Online Student Communities. RecSys 2017: 47-55 - [c10]Peter Babinec, Ivan Srba:
Education-specific Tag Recommendation in CQA Systems. UMAP (Adjunct Publication) 2017: 281-286 - 2016
- [j3]Ivan Srba, Mária Bieliková:
Why is Stack Overflow Failing? Preserving Sustainability in Community Question Answering. IEEE Softw. 33(4): 80-89 (2016) - [j2]Ivan Srba, Mária Bieliková:
A Comprehensive Survey and Classification of Approaches for Community Question Answering. ACM Trans. Web 10(3): 18:1-18:63 (2016) - [c9]Ivan Srba, Mária Bieliková:
Design of CQA Systems for Flexible and Scalable Deployment and Evaluation. ICWE 2016: 439-447 - [c8]Adrian Huna, Ivan Srba, Mária Bieliková:
Exploiting Content Quality and Question Difficulty in CQA Reputation Systems. NetSci-X 2016: 68-81 - 2015
- [j1]Ivan Srba, Mária Bieliková:
Dynamic Group Formation as an Approach to Collaborative Learning Support. IEEE Trans. Learn. Technol. 8(2): 173-186 (2015) - [c7]Ivan Srba, Marek Grznar, Mária Bieliková:
Utilizing Non-QA Data to Improve Questions Routing for Users with Low QA Activity in CQA. ASONAM 2015: 129-136 - [c6]Ivan Srba, Mária Bieliková:
Askalot: Community Question Answering as a Means for Knowledge Sharing in an Educational Organization. CSCW Companion 2015: 179-182 - 2014
- [p1]Mária Bieliková, Marián Simko, Michal Barla, Jozef Tvarozek, Martin Labaj, Róbert Móro, Ivan Srba, Jakub Sevcech:
ALEF: From Application to Platform for Adaptive Collaborative Learning. Recommender Systems for Technology Enhanced Learning 2014: 195-225 - 2013
- [c5]Ivan Srba, Mária Bieliková:
Designing Learning Environments Based on Collaborative Content Creation. ECTEL-meets-ECSCW 2013: 49-53 - [c4]Ivan Srba:
Adaptive Support for Educational Question Answering. EC-TEL Doctoral Consortium 2013: 109-114 - 2012
- [c3]Ivan Srba, Mária Bieliková:
Encouragement of Collaborative Learning Based on Dynamic Groups. EC-TEL 2012: 432-437 - 2011
- [c2]Róbert Móro, Ivan Srba, Maros Uncík, Mária Bieliková, Marián Simko:
Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning. Web Intelligence/IAT Workshops 2011: 106-109 - 2010
- [c1]Ivan Srba, Mária Bieliková:
Tracing Strength of Relationships in Social Networks. Web Intelligence/IAT Workshops 2010: 13-16
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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