Pre-trained decoders consistently improve multimodal translation, while pre-trained encoders help only when visual-text alignment is strong.
In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Process- ing, pages 992–1003, Copenhagen, Denmark
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation
Pre-trained decoders consistently improve multimodal translation, while pre-trained encoders help only when visual-text alignment is strong.