1 citations · 1 across the 9 of their papers we have counts for
10 papers
SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses
Le Chen, Erhu Feng, Yubin Xia +1
LLM agents increasingly adopt skills as a reusable unit of composition. While skills are shared across diverse agent platforms, current systems treat them as raw context, causing t…
MobiFlow: Real-World Mobile Agent Benchmarking through Trajectory Fusion
Yunfei Feng, Xi Zhao, Cheng Zhang +5
Mobile agents can autonomously complete user-assigned tasks through GUI interactions. However, existing mainstream evaluation benchmarks, such as AndroidWorld, operate by connectin…
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…
From Principles to Practice: A Systematic Study of LLM Serving on Multi-core NPUs
Tianhao Zhu, Dahu Feng, Erhu Feng +1
With the widespread adoption of Large Language Models (LLMs), the demand for high-performance LLM inference services continues to grow. To meet this demand, a growing number of AI…
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…