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MLLMs struggle to juggle proactive tasks and reactive queries in dynamic video streams, but a simple agentic framework can significantly improve their coordination without any training.
Get constant-factor approximations of Pareto frontiers in stochastic multi-objective optimization with only poly-logarithmic SAT oracle queries, bypassing the prohibitive costs of existing methods.
