Tag: Vision-Language Models
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Multi-Graph Reasoning with Vision-Language Models Benchmark
Explore the first benchmark for multi-graph reasoning using Vision-Language Models, enhancing graph understanding and cross-modal intelligence.
ST-Prune: Efficient Token Pruning for Autonomous Driving AI
Discover ST-Prune, a training-free spatio-temporal token pruning method that boosts Vision-Language Models' efficiency in autonomous driving.
Hierarchically Robust Zero-Shot Vision-Language Models
Discover how hierarchical embeddings improve adversarial robustness in zero-shot vision-language models for enhanced performance and security.
LLM-as-Judge Framework to Detect Hallucination in VLMs
Discover the LLM-as-Judge framework and Ghost-100 benchmark for evaluating tone-induced hallucination in vision-language models with improved accuracy.
REVEAL: Early Alzheimer’s Prediction via Retinal Imaging
Discover REVEAL, a novel approach aligning retinal images and clinical risks for early Alzheimer's and dementia prediction up to 11 years in advance.