Visual prompting converts eye-tracking data into images that let MLLMs perform human activity recognition in a token-efficient way across public datasets.
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Evaluating Visual Prompts with Eye-Tracking Data for MLLM-Based Human Activity Recognition
Visual prompting converts eye-tracking data into images that let MLLMs perform human activity recognition in a token-efficient way across public datasets.