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A single lightweight model can now achieve superior recommendation performance by leveraging a structured memory of reasoning, eliminating the need for costly repeated computations.
Expert-guided forecast editing can dramatically enhance time-series predictions by intelligently balancing exploitation and exploration, leading to superior outcomes.
UserKNN outshines advanced models in cold-start scenarios, revealing the limitations of learned approaches in low-resource settings.
