Yuanmeng Chen — accepted AI-conference papers

2025

DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation

Zhibo Man, Yuanmeng Chen, Yujie Zhang, Jinan Xu

EMNLP 2025

Currently, Large Language Models (LLMs) have achieved remarkable results in machine translation. However, their performance in multi-domain translation (MDT) is less satisfactory, the meanings of words can vary across different domains, highlighting the significant ambiguity inherent in MDT. Therefo

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2024

ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation

Zhibo Man, Kaiyu Huang, Yujie Zhang, Yuanmeng Chen, Yufeng Chen, Jinan Xu

EMNLP 2024finding

In a practical scenario, multi-domain neural machine translation (MDNMT) aims to continuously acquire knowledge from new domain data while retaining old knowledge. Previous work separately learns each new domain knowledge based on parameter isolation methods, which effectively capture the new knowle…

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