ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding
ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding
Can Factual Opinions Be Edited (Manipulated) in Large Language Models?
Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
Shadow-Activated Backdoor Attacks on Multimodal Large Language Models
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
*Equal contribution
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
Recent Advances in Predictive Modeling with Electronic Health Records
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation
Hierarchical Pretraining on Multimodal Electronic Health Records
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pretrained Models
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation
Multimodal Transformer Network for Pedestrian Trajectory Prediction
Order-independent Matching with Shape Similarity for Parking Slot Detection
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Learning to Plan Semantic Free-Space Boundary