Context Sensitivity Improves Human-Machine Visual Alignment

ArXi:2604.13883v1 Announce Type: cross Modern machine learning models typically represent inputs as fixed points in a high-dimensional embedding space. While this approach has been proven powerful for a wide range of downstream tasks, it fundamentally differs from the way humans process information. Because humans are constantly adapting to their environment, they represent objects and their relationships in a highly context-sensitive manner.