9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation
Minghao Wu, Yufei Wang, George Foster +2
Document-level neural machine translation (DocNMT) aims to generate translations that are both coherent and cohesive, in contrast to its sentence-level counterpart. However, due to…
cs.CL2024★ 9 cited
Adapting Large Language Models for Document-Level Machine Translation
Minghao Wu, Thuy-Trang Vu, Lizhen Qu +2
Large language models (LLMs) have significantly advanced various natural language processing (NLP) tasks. Recent research indicates that moderately-sized LLMs often outperform larg…