most citedWhen AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments

4 citations · 4 across the 3 of their papers we have counts for

collaborators

13 papers

cs.AI2026

Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking

Huizi Yu, Jian Liu, Wenkong Wang +10

Patients increasingly seek medication information online, yet safety knowledge for psychiatric drugs is split between regulatory adverse-event records, which are authoritative but…

q-fin.TR20264 cited

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments

Chong Zhang, Xinyi Liu, Zhongmou Zhang +10

Can AI Agents simulate real-world trading environments to investigate the impact of external factors on stock trading activities (e.g., macroeconomics, policy changes, company fund…

cs.SI2026

Reducing the rate of personal insults in social media with bystander bots

Libby Hemphill, Lingyao Li, Ryan Burton +1

Prompted by previous research on strategies for reducing interpersonal conflict and addressing problematic behaviors in online communities, a randomized controlled trial on Reddit…

cs.CL2025

Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility

Zhaoqian Xue, Guanhong Liu, Chong Zhang +7

Monitoring health resource disparities during public health crises is critical, yet traditional methods, like surveys, lack the requisite speed and spatial granularity. This study…

cs.CL2025

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Huizi Yu, Jiayan Zhou, Lingyao Li +22

Background: Simulated patient systems are important in medical education and research, providing safe, integrative training environments and supporting clinical decision making. Ad…

cs.CL2025

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…