Tag: Vision-Language Models
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Jailbreaking Frontier AI Models via Intention Deception
Explore how multi-turn intention deception exploits vulnerabilities in frontier AI models like GPT-5, revealing critical safety risks and para-jailbreaking...
Efficient Far-Field Anomaly Detection in Expressway Videos
Discover VIBES, a novel AI framework using Bayesian inference and VLMs for accurate, real-time far-field anomaly detection in expressway surveillance.
Agri-CPJ: Explainable Pest Diagnosis Without Training
Discover Agri-CPJ, a training-free, explainable framework using vision-language models for accurate agricultural pest diagnosis and improved crop health.
PushupBench Reveals VLMs Fail to Count Pushups Accurately
PushupBench dataset exposes large vision-language models' struggle to count pushup reps, highlighting the need for better temporal reasoning in AI video an...
Interpretable Diabetic Retinopathy Grading with CNN-Transformer Models
Discover how CNN-transformer ensembles improve diabetic retinopathy grading with visual explainability and vision-language model insights for clinical use.