Papers by Xudong Xiao

1 papers
ViDove: A Translation Agent System with Multimodal Context and Memory-Augmented Reasoning (2025.emnlp-demos)

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Challenge: Recent advances in Large Language Models (LLMs) have demonstrated remarkable capabilities in Machine Translation (MT) tasks.
Approach: They propose a translation agent system designed for multimodal input that leverages visual and contextual background information to enhance the translation process.
Outcome: The proposed translation agent achieves significantly higher translation quality in subtitle generation and general translation tasks compared to previous state-of-the-art systems.

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