858 citations
- University of Chinese Academy of SciencesCN34 papers
- Chinese Academy of SciencesCN31 papers
- Institute of AutomationCN24 papers
- Tsinghua UniversityCN24 papers
- Peking UniversityCN19 papers
- Shanghai Artificial Intelligence LaboratoryCN15 papers
- Shandong Institute of AutomationCN14 papers
- Beihang UniversityCN11 papers
- Center for Excellence in Brain Science and Intelligence TechnologyCN8 papers
- Chinese University of Hong KongHK6 papers
- Renmin University of ChinaCN6 papers
- Tencent (China)CN6 papers
6 papers · 1 filter
Understanding Cognition-Induced Risks in Agentic AI Systems
Guanchu Wang, Qinuo Li, Mengnan Du +2
Frontier agentic systems powered by large language models (LLMs) exhibit human-like patterns of cognition. As these systems become deeply integrated across different domains, their…
Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges
Yisong Chen, Yifan Gao, Sijing Yu +2
We present a review on the applications of large language models (LLMs) in health, e.g., social media analysis, clinical conversational agents, therapy support tools, prompt engine…
Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition
Yushuo Zheng, Huiyu Duan, Zicheng Zhang +3
The ability of large language models (LLMs) to manage and acquire economic resources remains unclear. In this paper, we introduce \textbf{Market-Bench}, a comprehensive benchmark t…
Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning
Xixian Yong, Peilin Sun, Zihe Wang +1
Effective urban planning is crucial for enhancing residents' quality of life and ensuring societal stability, playing a pivotal role in the sustainable development of cities. Curre…
Causal Mean Field Multi-Agent Reinforcement Learning
Hao Ma, Zhiqiang Pu, Yi Pan +3
Scalability remains a challenge in multi-agent reinforcement learning and is currently under active research. A framework named mean-field reinforcement learning (MFRL) could allev…
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
Xizhou Zhu, Yuntao Chen, Hao Tian +10
The captivating realm of Minecraft has attracted substantial research interest in recent years, serving as a rich platform for developing intelligent agents capable of functioning…