| Chatgpt to replace crowdsourcing of paraphrases for intent classification: Higher diversity and comparable model robustness J Cegin, J Simko, P Brusilovsky arXiv preprint arXiv:2305.12947, 2023 | 23 | 2023 |
| Test data generation for MC/DC criterion using reinforcement learning J Čegiň, K Rástočný 2020 IEEE international conference on software testing, verification and …, 2020 | 10 | 2020 |
| Machine learning based test data generation for safety-critical software J Čegiň Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 2 | 2020 |
| Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation J Cegin, B Pecher, J Simko, I Srba, M Bielikova, P Brusilovsky arXiv preprint arXiv:2401.06643, 2024 | 1 | 2024 |
| Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation B Pecher, J Cegin, R Belanec, J Simko, I Srba, M Bielikova arXiv preprint arXiv:2406.12471, 2024 | | 2024 |
| A Game for Crowdsourcing Adversarial Examples for False Information Detection J Cegin, J Simko, P Brusilovsky AIofAI ‘22: 2nd Workshop on Adverse Impacts and Collateral Effects of …, 2022 | | 2022 |
| Synthesized dataset for search-based test data generation methods focused on MC/DC criterion J Čegiň, K Rástočný, M Bieliková 2020 IEEE 20th International Conference on Software Quality, Reliability and …, 2020 | | 2020 |
Jakub SimkoExpert researcher, Kempelen Institute of Intelligent Technologies在 kinit.sk 的电子邮件经过验证
