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Experimental results demonstrate that the KuaiRP models not only match the current state-of-the-art proprietary models in role-playing fidelity within the authors' target domains, but also successfully recover general agent capabilities, maintaining extremely low deployment costs.
More accurate 3D scene completion doesn't reliably improve autonomous robot exploration鈥攗nsupported neural hallucinations quietly sabotage navigation planners unless continuously gated against real-time sensor observations.
New definitions of strong and weak anonymity reveal critical insights into privacy guarantees in discrete-event systems, challenging existing notions.