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SportD benchmark tests whether vision-language models can make strategic soccer decisions

A new arXiv paper introduces SportD, a dataset that evaluates vision-language models on strategic decision-making using soccer as a testbed where action outcomes can be scored numerically. The work asks whether models that can describe a scene are also able to choose effective actions within it. This is a replacement version of the preprint.

vision-language-models/benchmarks/agents/arxiv