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Researchers at Zhejiang University released SpaceCast-Bench, a benchmark for vision-language models to predict spatial changes. The paper posted to arXiv in October shows the best VLM scores 58% at predicting spatial change, while humans score 87%. The code is on GitHub under the Apache-2.0 license, with data on Hugging Face.
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