报告题目：Large language models in sports and financial applications

报告简介：In this talk, I will present two projects related to large language models (LLMs). The first project focuses on evaluating the sports understanding of LLMs, using newly introduced benchmark datasets. Our evaluation covers a range of tasks, from basic queries about rules and historical facts to complex, context-specific reasoning, as well as assessing the sports reasoning capabilities of video language models. The second project studies LLMs’ financial domain knowledge and practical abilities. We introduce a comprehensive dataset for evaluating financial security and agent tasks in the financial domain.  Our work innovatively adds a comparison of the capabilities of large models with those of ordinary individuals and experts in the financial domain, providing a valuable reference for the study of large models’ capabilities in finance.

报告人：Weining Shen is Associate Professor of Statistics at the University of California, Irvine. He received his PhD from North Carolina State University and spent two years as a postdoc at the University of Texas M.D. Anderson Cancer Center. Dr. Shen’s research interest includes Bayesian methods, machine learning, high-dimensional models, and applications in neuroscience, biology, sports analytics, and education assessment.

报告时间：2025年04月01日（星期二）下午 4:00-6:00.

报告地点：56号楼2楼报告厅

主办单位：扬州大学数学科学学院

联系人：宗序平

欢迎广大师生参加！