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Click intent matters鈥擬ARCO achieves nearly perfect calibration and boosts conversions by 2.80% by treating clicks as distinct signals rather than uniform events.
ROCS can triple the throughput of recommendation systems without sacrificing prediction accuracy, revolutionizing how we handle user requests in large-scale settings.
Pairwise evaluations of LLMs can yield cyclic inconsistencies, but a novel prompt perturbation framework can stabilize rankings and enhance interpretability.
