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DIEM is proposed, a principled and fully automated framework that makes data utilization adaptive throughout RFT and consistently outperforms strong static and dynamic baselines.
StreamMind is introduced, a two-tier architecture that assigns latency-critical interaction and proactive monitoring to independently scheduled frontend workers, while backend workers asynchronously construct persistent multimodal memory and perform historical recall and external search.
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