Mar 27, 2025 · We evaluated current mainstream LLMs, including both traditional LLMs and recently developed Large Reasoning Models. The results demonstrate the significant necessity for evaluation …

Nov 17, 2025 · By releasing these datasets and baselines, we aim to advance Hungarian speech technology and offer a methodological framework for developing spontaneous and conversational …

Aug 24, 2023 · This paper presents a set of industrial-grade text processing models for Hungarian that achieve near state-of-the-art performance while balancing resource efficiency and accuracy.

Feb 1, 2022 · In this paper, we introduce BEA-Base, a subset of the BEA spoken Hungarian database comprising mostly spontaneous speech of 140 speakers. It is built specifically to assess ASR, …

BEA-Dialogue, comprising 85 hours of spontaneous conversations, is a Hungarian speech corpus featuring natural dialogues partitioned into speaker-independent subsets, supporting research in …

May 12, 2025 · This paper presents a comprehensive analysis of various static word embeddings for the Hungarian language, including traditional models such as Word2Vec, FastText, as well as static …

Nov 12, 2022 · View a PDF of the paper titled How to Backpropagate through Hungarian in Your DETR?, by Lingji Chen and 4 other authors

As Hungarian entity recognition datasets share the same tagset and rely on similar annotation guides, it is possible to train models using both corpora. In this regards, we follow the work of Simon et al. (in …

Jul 4, 2025 · The study assesses Hungary's National AI Strategy and its implementation through the analysis of strategic documents, publicly available financial records, and expert interviews with the …

Nov 7, 2021 · I train models for the task of neural machine translation for English-Hungarian and Hungarian-English, using the Hunglish2 corpus. The main contribution of this work is evaluating …