1 citations · 1 across the 4 of their papers we have counts for
4 papers
EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor Hypergraph
Zeyang Cui, Jiannong Cao, Zhiyuan Wen +3
Agent memory allows LLM agents to use earlier interactions when answering new queries. Existing methods often compress interaction histories into summaries or other LLM-generated r…
You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures
Shengyuan Chen, Chuang Zhou, Zheng Yuan +6
Large language models (LLMs) often suffer from hallucination, generating factually incorrect statements when handling questions beyond their knowledge and perception. Retrieval-aug…
RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection
Jianrui Shi, Yong Zhao, Zeyang Cui +3
Object detection plays a crucial role in smart video analysis, with applications ranging from autonomous driving and security to smart cities. However, achieving real-time object d…
EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
Mingjin Zhang, Jiannong Cao, Xiaoming Shen +1
Large language models (LLMs) have shown great potential in natural language processing and content generation. However, current LLMs heavily rely on cloud computing, leading to pro…