Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey 事件

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey arXiv:2604.11283v2 Announce Type: replace Abstract: Recent progress in multimodal large language models (MLLMs) is reshaping video translation from a cascaded pipeline of automatic speech recognition, machine translation, text-to-speech, and lip synchronization into a unified multimodal reasoning and generation problem. High-quality video translation requires not only semantic fidelity, but also temporal alignment