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General turn-taking behavior in real-time dialogue systems requires deciding whether to keep listening or start responding while listening, and whether to continue or stop while speaking. Existing turn detectors use heterogeneous, task-specific label spaces and are often trained on limited annotations or evaluated on i...
This work introduces Vehicle Intrusion and Semantic Tenor Assessment (VISTA), a multilingual benchmark of figurative prompts organized by Figurative Form and Mapping Mechanism, and proposes V-Score, a diagnostic question-answering metric that evaluates role-aware figurative faithfulness in generated images.
OmniVAE is presented, a jointly trained audio-video VAE that learns fine-grained semantic alignment between audio and video latent representations that translates into higher generation quality and more accurate cross-modal synchronization in downstream text-to-audio-video generation.
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