Kmetty, Z., Kollányi, B., and Boros, K. (2023): Boosting classification reliability of NLP transformer models in the long run. [arXiv]
Boros, K., Kmetty, Z. (2022): Identifying missing data handling methods with text mining. [Research Square]
Kmetty, Z., Vancsó A., Katona E., and Boros, K. (2021): Local context of anti-vaccination narratives – a case study from Hungary.
Conference Posters
Boros, K., Oyamada, M. (2023): Towards Large Language Model Organization: A Case Study on Abstractive Summarization. IEEE International Conference on Big Data. Sorrento, Italy. [pdf]
Kmetty, Z., Vancsó A., Katona E., and Boros, K. (2021): "Russian vaccine will be good for our politicians; I want Pfizer" – Changing narratives of
vaccination in Hungary. 7th International Conference on Computational Social Science IC2S2. ETH Zürich, Switzerland.
Conference Presentations
Boros, K. (2020): The methodological diversity of international surveys from the perspective of non-response (in hungarian). Scientific Students’ Associations Conference. Eötvös Loránd University. Budapest, Hungary
Others
Kmetty, Z., Boros, K., Dömsödi, L. B., Knap, Á, and Mogyorósi, P. (2022): Miniszterelnöki csata az online térben. In: Az állandóság változása. Parlamenti választás 2022. Budapest, Hungary: Gondolat, pp. 141–161. ISBN: 978-963-556-402-6. [pdf]
Kmetty, Z., Németh, R., Vancsó, A., Knap, Á. Váry, D., Boros, K., and Mogyorórsi, P. (2022): Text analytics and Social Media research. Data Collection. Hungarian Academy of Sciences. DOI: 10.17203/KDK508. [link]
Boros, K. (2020): The methodological diversity of international surveys from the perspective of non-response (research report in hungarian). In: Megközelı́thetetlen csoportok elérése: hogyan lehet javı́tani a személyes megkeresésen alapuló empirikus adatfelvételek minőségén? Ed. by Blanka Szeitl and István György Tóth. Budapest. TÁRKI, pp. 93–109. [pdf]