The authors introduce AibTrans, a multilingual image-text translation benchmark, show that common translation metrics mislead on dense images, and find that balanced multilingual fine-tuning preserves generalization better than single-pair fine-tuning.
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Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation
The authors introduce AibTrans, a multilingual image-text translation benchmark, show that common translation metrics mislead on dense images, and find that balanced multilingual fine-tuning preserves generalization better than single-pair fine-tuning.