NeoNet: 3D MRI Deep Learning for Non-Invasive PNI Prediction
NeoNet uses 3D MRI and deep learning to non-invasively predict perineural invasion, improving accuracy and patient outcomes in cancer diagnosis.
RAAP: Advanced Retrieval-Augmented Affordance Prediction
Discover RAAP, a cutting-edge framework enhancing robotic affordance prediction with retrieval-augmented learning and cross-image action alignment.
Adversarial Prompt Injection Attacks on Multimodal LLMs
Explore novel imperceptible visual prompt injection attacks on multimodal large language models and their security implications.
AGFT: Boost Zero-Shot Adversarial Robustness in VLMs
Enhance zero-shot adversarial robustness of vision-language models with AGFT's alignment-guided fine-tuning preserving cross-modal integrity.
Hybrid Quantum-Classical Model for 3D Cloud Forecasting
Discover a hybrid quantum-classical model improving 3D cloud field forecasting accuracy with advanced spatiotemporal and topology-aware techniques.