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Sun Yat-sen University
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Achieving state-of-the-art performance in long-horizon video world models, CaR flexibly retrieves memory while minimizing computational costs.
LLMs can leapfrog state-of-the-art scientific algorithms and human-designed solutions, but only if you scale the evaluation loop, not just the model.
