Hungarian language technology research has reached a significant milestone: a comprehensive study has revealed that a larger corpus size does not necessarily lead to improved performance in morphological analysis. In their study, Andrea Dömötör, Balázs Indig, and Dávid Márk Nemeskey conducted a detailed analysis of three Hungarian-language corpora of varying
Tibor Szécsényi and Nándor Virág, researchers at the University of Szeged, have explored the context sensitivity of the huBERT language model in pragmatic annotation, focusing in particular on the automatic identification of imperative verb functions. Their study, conducted on the MedCollect corpus—a dataset of health-related misinformation—investigates how both
The development of large language models has accelerated in recent months. The HUN-REN Hungarian Research Centre for Linguistics has now introduced the PULI LlumiX model, which is a system optimised for the Hungarian language, continuously pre-trained and fine-tuned for instruction following. A detailed presentation of the model can be found
The HUN-REN Cloud organized an online workshop on February 19, 2025, responding to the growing demand for efficient and scalable computing capacity in artificial intelligence development. The workshop demonstrated how researchers can leverage multiple GPU resources simultaneously in cloud-based infrastructure. At the event, experts from HUN-REN SZTAKI, including Péter Kacsuk,
As part of the EU co-funded AI EDIH project, Budapest University of Technology and Economics is organizing a comprehensive professional workshop on industrial applications of 5G and artificial intelligence on February 25, 2025. The event aims to facilitate businesses' digital transformation, with a special focus on startups, SMEs, and
Miklós Sebők, in an interview with HVG, discussed the possibilities and challenges of artificial intelligence development in Hungary. He emphasized that although AI is gaining increasing strategic importance globally, Hungary is not yet fully utilizing the regulatory and development opportunities provided by the EU. In the interview, Sebők emphasized that
Python is one of today's most popular programming languages, yet few bug repositories contain actual, reproducible bugs. PyBugHive fills this gap as the first manually validated database containing reproducible Python bugs. The first version of the database contains 149 bugs from 11 open-source projects, providing researchers with the
A new Momentum research group led by Boldizsár Szentgáli-Tóth will begin its operation in 2024 at the HUN-REN Centre for Social Sciences, examining the frameworks and limitations of algorithmic constitutionalism. The five-year project analyses the relationship between AI and fundamental rights. The research defines algorithmic constitutionalism as a set of
The study "Identification of Social Scientifically Relevant Topics in an Interview Repository: A Natural Language Processing Experiment" presents a pioneering experiment in the automated processing of qualitative data in social sciences. The joint project of the Research Documentation Centre at the Centre for Social Sciences (TK KDK) and
Led by the HUN-REN Centre for Social Sciences, the MORES project (Moral Emotions in Politics: How They Unite, How They Divide) was launched as a collaboration between nine European institutions. The project examines the challenges facing liberal democracy, with a particular focus on the political role of moral emotions and
Levente, Hungary's latest supercomputer, is being built at the Wigner Research Centre for Physics in Csillebérc as part of the EuroHPC JU program. The project holds strategic importance for domestic research and development and industrial technological progress, particularly since the new machine will be four times more powerful
