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Peking University
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A self-triggered push system that autonomously optimizes notification timing and frequency has led to measurable increases in user engagement and significant reductions in operational costs.
UniMem achieves a remarkable 4.0 EM point improvement in task execution fidelity by seamlessly integrating episodic and parametric memory without the need for explicit task labels.
Observational user feedback, often dismissed as too noisy and biased, can actually power effective RLHF with the right causal modeling, achieving a 49.2% gain on WildGuardMix.
