1 citations · 1 across the 5 of their papers we have counts for
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Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM
Zheng Wei Lim, Nitish Gupta, Honglin Yu +1
Multilingual large language models (LLMs) are great translators, but this is largely limited to high-resource languages. For many LLMs, translating in and out of low-resource langu…
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo +73
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge pres…
Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation
Zheng Wei Lim, Ekaterina Vylomova, Trevor Cohn +1
A good translation should be faithful to the source and should respect the norms of the target language. We address a theoretical puzzle about the relationship between these object…