Papers by Gergő Ferenczi
HuLU: Hungarian Language Understanding Benchmark Kit (2024.lrec-main)
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Noémi Ligeti-Nagy, Gergő Ferenczi, Enikő Héja, László János Laki, Noémi Vadász, Zijian Győző Yang, Tamás Váradi
| Challenge: | The Hungarian Language Understanding (HuLU) benchmark is a comprehensive assessment framework designed to evaluate the performance of neural language models on Hungary language tasks. |
| Approach: | They propose to use a framework to evaluate the performance of neural language models on Hungarian language tasks. |
| Outcome: | The framework evaluates models against Hungarian language tasks using a web service and a leaderboard. |