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Northwestern Polytechnical University
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Today's best smartphone GUI agents stumble when faced with the messy reality of personalized user workflows, achieving only limited success on a new benchmark designed to mimic real-world use.
By explicitly encoding Green's function theory into a neural architecture, DGNet learns spatiotemporal PDEs from just tens of training trajectories, outperforming existing methods.
LLMs learn faster and perform better in decision-making tasks when rewarded for being uncertain, not just for succeeding.