The article discusses Earth AI's planetary geospatial foundation models and their application in global public health. It mentions the publisher's topic labels, including Earth AI, Global, and Health & Bioscience.
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This research could help in understanding how geospatial models can be used to address global health challenges.
This survey explores post-training and alignment techniques in video generation models, highlighting challenges like temporal coherence and physical constraints. It categorizes methods into supervised fine-tuning, self-training, preference-based approaches, and inference-time strategies, while discussing datasets, evaluation practices, and open challenges.
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