5 citations · 6 across the 6 of their papers we have counts for
7 papers
Insurance as AI Risk Infrastructure: A Generative-Agent Simulation of AI Adoption
Yixuan Yuan, Dedai Wei, Chudong Qian +6
The rapid evolution of artificial intelligence (AI) tools has demonstrated immense potential to enhance societal well-being and operational efficiency. However, the inherent unreli…
ChartAnno: Benchmarking Multimodal Large Language Models for Chart Annotation Generation
Zhenghan Chen, Zekai Shao, Lidan Tan +10
Annotations are essential to communicative visualization, helping explain data, emphasize key findings, and guide attention. While multimodal large language models (MLLMs) offer ne…
SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environments
Ziyue Lin, Xinhang Xie, Kangyi Wang +1
Semantic trajectory analysis has recently emerged as an approach for modeling human movement by capturing implicit patterns and behaviors through semantic information (e.g., visito…
SimSpark: Interactive Simulation of Social Media Behaviors
Ziyue Lin, Yi Shan, Lin Gao +2
Understanding user behaviors on social media has garnered significant scholarly attention, enhancing our comprehension of how virtual platforms impact society and empowering decisi…
DashChat: Interactive Authoring of Performance Dashboard Design Prototypes through Conversation with LLM-Powered Agent
Z. Lin, S. Shen, W. Liu +5
Performance dashboards are dashboards designed for and deployed within industrial settings (e.g., enterprises, government agencies) to showcase and monitor their operational perfor…
Carbon and Silicon, Coexist or Compete? A Survey on Human-AI Interactions in Agent-based Modeling and Simulation
Ziyue Lin, Siqi Shen, Zichen Cheng +2
Recent interest in human-AI interactions in agent-based modeling and simulation (ABMS) has grown rapidly due to the widespread utilization of large language models (LLMs). ABMS is…
Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education
Lin Gao, Jing Lu, Zekai Shao +7
Large Language Models (LLMs) have shown great potential in intelligent visualization systems, especially for domain-specific applications. Integrating LLMs into visualization syste…