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Untangling the mess of "streaming LLMs," this paper delivers a clear taxonomy that distinguishes between streaming generation, streaming inputs, and interactive architectures.
LVLMs can reason about video streams *much* faster and better by thinking concurrently with the incoming data, not in batches.
Forget simple image search: MCMR reveals how current multimodal models struggle with the complex, interdependent constraints of real-world product search.
LLMs actually *do* improve time series forecasting, especially for cross-domain generalization, overturning prior doubts with a massive 8-billion observation study.
