5 papers
The Rise of AI Agent Communities: Large-Scale Analysis of Discourse and Interaction on Moltbook
Lingyao Li, Renkai Ma, Chen Chen +2
Moltbook is a Reddit-like social platform where AI agents create posts and interact with other agents through comments and replies, offering a real-world setting to examine agent-t…
Cache Mechanism for Agent RAG Systems
Shuhang Lin, Zhencan Peng, Lingyao Li +3
Recent advances in Large Language Model (LLM)-based agents have been propelled by Retrieval-Augmented Generation (RAG), which grants the models access to vast external knowledge ba…
Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design
Zhenkun Li, Lingyao Li, Shuhang Lin +1
Single-agent LLMs hit hard limits--finite context, role overload, and brittle domain transfer. Conventional multi-agent fixes soften those edges yet expose fresh pains: ill-posed d…
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models
Junjie Xiong, Changjia Zhu, Shuhang Lin +4
Large Language Models (LLMs) are increasingly equipped with capabilities of real-time web search and integrated with protocols like Model Context Protocol (MCP). This extension cou…
Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction
Xiaoran Xu, Zhaoqian Xue, Chi Zhang +7
Investigating the public experience of urgent care facilities is essential for promoting community healthcare development. Traditional survey methods often fall short due to limite…