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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.LG2024

Multi-intent Aware Contrastive Learning for Sequential Recommendation

Junshu Huang, Zi Long, Xianghua Fu +1

Intent is a significant latent factor influencing user-item interaction sequences. Prevalent sequence recommendation models that utilize contrastive learning predominantly rely on…

cs.CL2024★ 1 cited

Exploring the Necessity of Visual Modality in Multimodal Machine Translation using Authentic Datasets

Zi Long, Zhenhao Tang, Xianghua Fu +3

Recent research in the field of multimodal machine translation (MMT) has indicated that the visual modality is either dispensable or offers only marginal advantages. However, most…