Title：Large language models in sports and financial applications

Abstract：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.

Speaker：Weining Shen, Department of Statistics, University of California, Irvine.

Date：4:00 p.m., 2025-4-1 (Tuesday).

Venue: Room 225, Building 56#

Organizer：School of Mathematical Science

Inviter：Zong Xuping

Students and teachers are welcome.