6 papers
Markets, Not Planners: Decentralized Orchestration of LLM Agents with Private Information
Xiao Liu, Haoyang Li, Songwei Li +4
As LLM agents proliferate, built by different parties and with different capabilities and costs, orchestrating them is more like assembling labor across the economy than a computer…
AgentSociety 2: An Integrated Research Environment for Executable Social Science
Jinghua Piao, Jun Zhang, Haoyu Huang +16
AI scientist systems are beginning to automate parts of scientific research, but social science poses a distinct challenge: its objects of inquiry are not merely datasets or labora…
AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments
Jiaju Chen, Jinghua Piao, Xia Xu +4
A long-standing challenge in economics lies not in the lack of intuition, but in the difficulty of translating intuitive insights into verifiable research. To address this challeng…
A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science
Jie Feng, Jinwei Zeng, Qingyue Long +15
Over the past year, the development of large language models (LLMs) has brought spatial intelligence into focus, with much attention on vision-based embodied intelligence. However,…
Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media Content
Bingbing Fan, Lin Chen, Songwei Li +4
Understanding experienced segregation in urban daily life is crucial for addressing societal inequalities and fostering inclusivity. The abundance of user-generated reviews on soci…
LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
Songwei Li, Jie Feng, Jiawei Chi +3
Human mobility prediction is essential for applications like urban planning and transportation management, yet it remains challenging due to the complex, often implicit, intentions…