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Injecting physics-based priors derived from MLLMs at decoding time significantly boosts weather forecasting accuracy and stability, even in long autoregressive rollouts.
MLLMs still can't handle time-sensitive multimodal reasoning, often failing to integrate auditory and visual cues effectively in dynamic environments like a 4D escape room.
