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LLMs can be used to prune irrelevant information *before* planning, enabling efficient long-horizon multi-robot task planning that outperforms both pure LLM and hybrid LLM-PDDL approaches.
A 1000x larger video reasoning dataset reveals early signs of emergent generalization, offering a new foundation for training and evaluating spatiotemporal AI.
