arXiv Computation and Language August 31, 2026 By Sai Koneru, Matthias Huck, Jan Niehues

OmniFusion: Simultaneous Multilingual Multimodal Translations via Modular Fusion

Read the original on arXiv Computation and Language →

OmniFusion is an end‑to‑end multilingual multimodal translation system that fuses a pretrained multimodal foundation model (Omni 2.5‑7B) with a translation large language model (SeedX PPO‑7B). By connecting hidden states from multiple layers of the multimodal model to the translation LLM, OmniFusion can translate speech, speech‑and‑image, and text‑and‑image inputs while reducing simultaneous speech‑translation latency by about one second compared to cascaded pipelines. The approach improves overall translation quality by leveraging both audio and visual context.

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