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MOSS-VL achieves a staggering 66.0 average score in proactive alerting, far surpassing the best baseline by nearly 30 points.
Achieving MCMC-level accuracy at a fraction of the computational cost, this method revolutionizes how we approach Bayesian inference in cognitive decision-making models.
