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Simple, interpretable greedy policies can achieve near-optimal performance in complex multi-item order fulfillment, challenging the need for sophisticated optimization in certain e-commerce settings.
Ignoring inter-look correlation can lead to significant performance degradation in holographic reconstruction, but a new Markov-based approach achieves near-ideal results even in challenging conditions.
Achieve state-of-the-art remote sensing image-text retrieval without the computational burden of large-scale vision-language model pre-training, thanks to a novel two-stage approach.