5 papers
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
Zhilun Zhou, Zihan Liu, Jiahe Liu +5
Large Language Model-based Multi-Agent Systems (LLM-based MAS), where multiple LLM agents collaborate to solve complex tasks, have shown impressive performance in many areas. Howev…
S: Social-network Simulation System with Large Language Model-Empowered Agents
Chen Gao, Xiaochong Lan, Zhihong Lu +5
Social network simulation plays a crucial role in addressing various challenges within social science. It offers extensive applications such as state prediction, phenomena explanat…
Harnessing the Synergy between LLM Agents and Knowledge Graphs for Urban Socioeconomic Prediction
Zhilun Zhou, Jingyang Fan, Yu Liu +3
Socioeconomic prediction aims to leverage various urban data to predict the socioeconomic indicators of regions such as population and commercial activity level, which plays an imp…
Enhancing ID-based Recommendation with Large Language Models
Lei Chen, Chen Gao, Xiaoyi Du +4
Large Language Models (LLMs) have recently garnered significant attention in various domains, including recommendation systems. Recent research leverages the capabilities of LLMs t…
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking
Jun Zhang, Wenxuan Ao, Junbo Yan +2
With the development of artificial intelligence techniques, transportation system optimization is evolving from traditional methods relying on expert experience to simulation and l…