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City-specific causal insights reveal that e-scooter demand is driven by distinct factors, enabling targeted infrastructure planning that adapts to local urban typologies.
Forget fine-tuning: expert-guided LLM agents can unlock vast troves of scientific data buried in unstructured papers with surprising accuracy.
Injecting physics-based priors derived from MLLMs at decoding time significantly boosts weather forecasting accuracy and stability, even in long autoregressive rollouts.
