Tag: multimodal AI
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MIST Dataset: Advancing Voice AI for Smart Homes
Discover how the MIST dataset enhances voice-based AI assistants for smart homes with improved interaction, state tracking, and context awareness.
MACS: Boosting Multimodal MoE Inference Efficiency
Discover how MACS improves multimodal MoE inference with modality-aware scaling, enhancing AI efficiency and accuracy in processing text and images.
CoVUBench: Benchmarking Copyright Unlearning in LVLMs
Discover CoVUBench, the first benchmark for evaluating copyright unlearning in large vision-language models, balancing legal compliance and model utility.
VANGUARD: Advanced Video Anomaly Detection with Multimodal AI
Discover VANGUARD, a cutting-edge framework using multimodal large language models to improve video anomaly detection with precise reasoning and spatial gr...
VGR: Advanced Visual Grounded Reasoning for AI
Discover VGR, a multimodal AI model enhancing visual reasoning with precise image grounding and improved performance across key benchmarks.