Automatic translation metrics show lower agreement with humans on unseen technical domains than humans show with each other, and their robustness claims weaken when benchmarked against inter-annotator agreement instead of raw scores.
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Hy-MT2 presents three new multilingual translation models that claim to outperform listed open-source and commercial systems on diverse tasks while enabling low-storage on-device use.
A retrieval-augmented two-stage system using Qwen2.5-VL for Spanish captions and Gemini 2.5 Flash for target-language generation achieves over 120% chrF++ gains on three Indigenous languages and wins the shared task.
citing papers explorer
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Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains
Automatic translation metrics show lower agreement with humans on unseen technical domains than humans show with each other, and their robustness claims weaken when benchmarked against inter-annotator agreement instead of raw scores.
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Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild
Hy-MT2 presents three new multilingual translation models that claim to outperform listed open-source and commercial systems on diverse tasks while enabling low-storage on-device use.