Ing.

Ján Čegiň

Student doktorského studia


icegin@fit.vut.cz
244023/osobní číslo VUT

Publikace

  • 2024

    ČEGIŇ Ján, PECHER Branislav, ŠIMKO Jakub, SRBA Ivan a BIELIKOVÁ Mária. Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Bangkok: Association for Computational Linguistics, 2024, s. 13148-13171. ISBN 979-8-8917-6094-3.
    Detail

    PECHER Branislav, ČEGIŇ Ján, BELANEC Róbert, SRBA Ivan, ŠIMKO Jakub a BIELIKOVÁ Mária. Fighting Randomness With Randomness: Mitigating Optimisation Instability of Fine-Tuning Using Ensemble and Noise Regularisation. In: Findings of the Association for Computational Linguistics: EMNLP 2024. Miami: Association for Computational Linguistics, 2024, s. 11005-11044. ISBN 979-8-8917-6168-1.
    Detail

  • 2023

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

  • 2022

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

Nahoru