数学科学研究所
Insitute of Mathematical Science

Colloquium:Causal discovery and large language models in sports analytics

Colloquium| Institute of Mathematical Sciences

Time: Wednesday, November 13th, 2024 , 15:00-16:00

Location: IMS, RS408

Speaker: Weining Shen, University of California, Irvine

 

Abstract: In this talk, I will present two recent projects in sports analytics. The first project examines the causal factors contributing to home advantage in English Premier League football, introducing a new causal discovery method capable of handling non-stationary causal structures while providing theoretical guarantees for model identifiability and estimation consistency. The second project focuses on evaluating the sports understanding of mainstream large language models, 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.


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