AI RESEARCH
Empowering Video Translation using Multimodal Large Language Models
arXiv CS.CV
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ArXi:2604.11283v1 Announce Type: new Recent developments in video translation have further enhanced cross-lingual access to video content, with multimodal large language models (MLLMs) playing an increasingly important ing role. With strong multimodal understanding, reasoning, and generation capabilities, MLLMs-based video translation systems are overcoming the limitations of traditional cascaded pipelines that separately handle automatic speech recognition, machine translation, text-to-speech and lip synchronization.