5 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…
Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification
Xinyan Ma, Xianhao Ou, Weihao Zhang +6
Knowledge Graphs (KGs) serve as a critical foundation for AI systems, yet their automated construction inevitably introduces noise, compromising data trustworthiness. Existing trip…
Characterizing Mobile SoC for Accelerating Heterogeneous LLM Inference
Le Chen, Dahu Feng, Erhu Feng +5
With the rapid advancement of artificial intelligence technologies such as ChatGPT, AI agents, and video generation, contemporary mobile systems have begun integrating these AI cap…
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…
PowerInfer-2: Fast Large Language Model Inference on a Smartphone
Zhenliang Xue, Yixin Song, Zeyu Mi +3
Large language models (LLMs) on smartphones enable real-time AI assistance and privacy-preserving, offline operation. However, resource constraints of smartphones limit current dep…