Papers with audio-video understanding

1 papers
ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding (2026.findings-acl)

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Challenge: Existing omni-multimodal large language models lack incomplete modality support or lack autonomous proactive monitoring.
Approach: They propose a real-time omni-multimodal assistant for unified reactive and proactive interaction that decouples response initiation from generation to ensure precise triggering without task conflict.
Outcome: The proposed model achieves state-of-the-art performance on proactive tasks while competing in reactive settings.

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