Ing.

Ján Čegiň

Ph.D. student


icegin@fit.vut.cz
244023/BUT personal ID

Publications

  • 2024

    ČEGIŇ, J.; PECHER, B.; ŠIMKO, J.; SRBA, I.; BIELIKOVÁ, M. Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Bangkok: Association for Computational Linguistics, 2024. p. 13148-13171. ISBN: 979-8-8917-6094-3. Detail

    PECHER, B.; ČEGIŇ, J.; BELANEC, R.; SRBA, I.; ŠIMKO, J.; BIELIKOVÁ, M. Fighting Randomness With Randomness: Mitigating Optimisation Instability of Fine-Tuning Using Ensemble and Noise Regularisation. Findings of the Association for Computational Linguistics: EMNLP 2024. Miami: Association for Computational Linguistics, 2024. p. 11005-11044. ISBN: 979-8-8917-6168-1. Detail

  • 2023

    ČEGIŇ, J.; ŠIMKO, J. ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Singapur: Association for Computational Linguistics, 2023. p. 1889-1905. ISBN: 979-8-8917-6060-8. Detail

  • 2022

    ČEGIŇ, J. A Game for Crowdsourcing Adversarial Examples for False Information Detection. In CEUR Workshop Proceedings. CEUR Workshop Proceedings. Vídeň: CEUR-WS.org, 2022. p. 13-25. ISSN: 1613-0073. Detail

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