Emergent Goal-Directed Attention in Large Vision-Language Models
Testing off-the-shelf vision-language models shows that general-purpose VLMs can generate human-aligned, goal-directed spatial priorities without gaze-specific training, informing theories of goal-directed attention and offering scalable tools for predicting where people look across tasks.
Han Zhang
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