Challenge: We present a high-quality and large-scale Vietnamese-English parallel dataset . our dataset is 2.9M pairs larger than the benchmark Vietnamese- English corpus .
Approach: They present a large-scale Vietnamese-English parallel dataset with 3.02M sentence pairs . they compare strong neural baselines and well-known automatic translation engines .
Outcome: The proposed dataset is 2.9M pairs larger than the benchmark Vietnamese-English corpus IWSLT15.

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Challenge: Existing high-quality Vietnamese-English parallel datasets are inadequate for translation training.
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VMLU Benchmarks: A comprehensive benchmark toolkit for Vietnamese LLMs (2025.acl-long)

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Upping the Ante: Towards a Better Benchmark for Chinese-to-English Machine Translation (L18-1)

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