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Latent reasoning can boost recommendation efficiency by over 10x while enhancing accuracy, challenging the need for verbose rationales in LLM applications.
Real-time recommendation can be transformed by capturing dynamic user interests through a novel partial-order modeling approach that significantly boosts engagement metrics.