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Matthias Huck

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#artificial intelligence Nov 2025

OmniFusion: Simultaneous Multilingual Multimodal Translations via Modular Fusion

An end-to-end approach that fuses MMFMs with translation LLMs, enabling joint end-to-end training and achieving a 1-second latency reduction in SimulST compared to cascaded pipelines and also improves the overall translation quality is proposed.

Sai Koneru, Matthias Huck, Jan Niehues · arXiv.org · 0 citations