LLMs exhibit large performance gaps in culture-aware translation, translation strategies systematically affect outputs, culture-specific items vary in difficulty, and models recognize cultural knowledge better than they use it correctly in translations.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
LLMs exhibit large performance gaps in culture-aware translation, translation strategies systematically affect outputs, culture-specific items vary in difficulty, and models recognize cultural knowledge better than they use it correctly in translations.