Rethinking Attention: Entropy-Guided Iterative Refinement for Language Models

Human-Centric Clinical AI: A Structural Data Validation Approach for Human-Reliable Medical Inference

Contextual Bandit Routing for LoRA Experts

LLM Wiki as a Living Constraint Oracle for Safe Offline RL: Evidence from Type 1 Diabetes Glucose Management

Recent Advances in Autonomous Driving Safety

A Comprehensive Survey of Multimodal Fake News Detection: Datasets, Methods, and Challenges

Federated Continual Learning for Privacy-Preserving, Reliable and Interpretable Multi-Center Corneal Diseases Diagnosis

Safe Offline Reinforcement Learning for Sepsis Treatment: A Two-Stage Framework Combining Constraint-Aware Learning with Runtime Safety Filtering

T-Cell Receptor Repertoire in Autoimmune Diseases and Their Machine Learning-Based Prediction Analysis

Recent Advancements of Transcranial Direct Current Stimulation and Machine Learning: Methods, Challenges, and Opportunities

Recent Advances in Artificial Intelligence for Music Education

FedA⁴: Federated Learning with Anti-Bias Aggregation and TrAjectory-Based Adaptation