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Branislav Pecher
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2020 – today
- 2024
- [c8]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 - [i10]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) - [i9]Branislav Pecher, Ivan Srba, Mária Bieliková, Joaquin Vanschoren:
Automatic Combination of Sample Selection Strategies for Few-Shot Learning. CoRR abs/2402.03038 (2024) - [i8]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) - [i7]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) - [i6]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) - 2023
- [j1]Ivan Srba
, Róbert Móro
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. Trans. Recomm. Syst. 1(1): 1-33 (2023) - [c7]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 - [i5]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) - [i4]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
- [c6]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 - [c5]Branislav Pecher:
Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification. IJCAI 2022: 5869-5870 - [c4]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 - [i3]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) - [i2]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) - [i1]Ivan Srba, Róbert Móro, Matús Tomlein, Branislav Pecher, Jakub Simko, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. CoRR abs/2210.10085 (2022) - 2021
- [c3]Matús Tomlein, Branislav Pecher, Jakub Simko
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes. RecSys 2021: 1-11 - [c2]Jakub Simko
Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading. UMAP (Adjunct Publication) 2021: 411-414 - 2020
- [c1]Branislav Pecher, Ivan Srba
FireAnt: Claim-Based Medical Misinformation Detection and Monitoring. ECML/PKDD (5) 2020: 555-559
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last updated on 2024-09-26 01:01 CEST by the dblp team
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