arXiv CS
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DIVE: Benchmarking Full-Duplex Interaction with Visual Engagement in Continuous Streams
Recent advances in multimodal large language models (MLLMs) have substantially improved spoken interaction and video understanding. Existing online and streaming benchmarks primarily assess causal multimodal perception through timestamped question answering, whereas real-world interaction requires m
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