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Simulating 8.3 billion diverse personas reveals nuanced user interactions that traditional evaluations miss, transforming how we assess AI systems.
$P^2$GNN's plug-and-play prototype approach boosts GNN performance by injecting global context and denoising local neighborhoods, achieving state-of-the-art results across diverse datasets.
Give new e-commerce products a warm start by borrowing behavioral signals from their substitutes, boosting search relevance and product discovery.
Stop hand-rolling your multi-task learning to rank models: DeepMTL2R provides a ready-to-use framework with 21 SOTA algorithms and Pareto-optimal optimization.
