Human-like meaning maps from single-prompt VLM ratings of local scene meaning
Test whether instruction-following vision-language models (VLMs) can generate human-like ratings in a zero-shot manner: using the original human-rating instructions as a single prompt without any task-specific training, showing that VLMs can replicate human semantic judgments without any training.