SportD: How do VLMs physically strategize?

Excerpt

arXiv:2607.14616v4 Announce Type: replace Abstract: Vision-language models (VLMs) can describe a scene, but can they act well within one? We study whether VLMs can make sound strategic decisions, using soccer as an objective testbed with quantifiably-valued actions. We introduce SportD, a dataset and evaluation consisting of 1415 decision scenarios across professional men's and women's soccer games, where a VLM observes the seconds before a decision and chooses the next action. Models only selec