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cs.LG2026
EBRL: Asynchronous Embodied RL by Multi-Grained Resource Management
Liang Mi, Weijun Wang, Bowen Gao +12
Embodied reinforcement learning (RL) improves model capabilities with a pipeline of environment simulation, action generation, and model updates. These stages show heterogeneous CP…
cs.LG2025
Scaling Up On-Device LLMs via Active-Weight Swapping Between DRAM and Flash
Fucheng Jia, Zewen Wu, Shiqi Jiang +7
Large language models (LLMs) are increasingly being deployed on mobile devices, but the limited DRAM capacity constrains the deployable model size. This paper introduces ActiveFlow…