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20242026
most citedExploring the Necessity of Visual Modality in Multimodal Machine Translation using Authentic Datasets

1 citations · 2 across the 5 of their papers we have counts for

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cs.CL2026

Structure-Preserving Document-Level Data Augmentation via Discourse Parsing

Ruilin Shang, Shilong Hou, Zi Long +1

Data augmentation (DA) plays a vital role in improving model performance in low-resource or limited-supervision scenarios within Natural Language Processing (NLP). Existing DA meth…

cs.CV2026

Video-guided Machine Translation with Global Video Context

Jian Chen, JinZe Lv, Zi Long +1

Video-guided Multimodal Translation (VMT) has advanced significantly in recent years. However, most existing methods rely on locally aligned video segments paired one-to-one with s…