1 citations · 1 across the 7 of their papers we have counts for
7 papers
Beyond Training: Enabling Self-Evolution of Agents with MOBIMEM
Zibin Liu, Cheng Zhang, Xi Zhao +6
Large Language Model (LLM) agents are increasingly deployed to automate complex workflows in mobile and desktop environments. However, current model-centric agent architectures str…
MobiAgent: A Systematic Framework for Customizable Mobile Agents
Cheng Zhang, Erhu Feng, Xi Zhao +7
With the rapid advancement of Vision-Language Models (VLMs), GUI-based mobile agents have emerged as a key development direction for intelligent mobile systems. However, existing a…
History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL
Jingkai He, Tianjian Li, Erhu Feng +5
With the rapid advancement of large language models (LLMs), reinforcement learning (RL) has emerged as a pivotal methodology for enhancing the reasoning capabilities of LLMs. Unlik…
Leveraging OS-Level Primitives for Robotic Action Management
Wenxin Zheng, Boyang Li, Bin Xu +3
End-to-end imitation learning frameworks (e.g., VLA) are increasingly prominent in robotics, as they enable rapid task transfer by learning directly from perception to control, eli…
Topology-Aware Virtualization over Inter-Core Connected Neural Processing Units
Dahu Feng, Erhu Feng, Dong Du +4
With the rapid development of artificial intelligence (AI) applications, an emerging class of AI accelerators, termed Inter-core Connected Neural Processing Units (NPU), has been a…
Get Experience from Practice: LLM Agents with Record & Replay
Erhu Feng, Wenbo Zhou, Zibin Liu +8
AI agents, empowered by Large Language Models (LLMs) and communication protocols such as MCP and A2A, have rapidly evolved from simple chatbots to autonomous entities capable of ex…