2 papers
cs.CL2026
CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs
Kamil Guttmann, Zofia Fraś, Artur Nowakowski +1
Current state-of-the-art Quality Estimation (QE) in machine translation relies on massive, proprietary LLMs, raising data privacy concerns. We demonstrate that smaller, open-source…
cs.CL2024
FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes
Dawid Wiśniewski, Zofia Rostek, Artur Nowakowski
People use language for various purposes. Apart from sharing information, individuals may use it to express emotions or to show respect for another person. In this paper, we focus…