【数学与统计及交叉学科前沿论坛------高端学术讲座第179场】

报告题目：Statistics-powered AI

报 告 人：史成春 伦敦政治经济学院

报告时间：12月22日星期一16:00-17:00

报告地点：阜成路校区综合楼1116会议室

报告摘要：We have definitely entered an era of generative artificial intelligence (AI), where large language models (LLMs) are increasingly reshaping our daily lives. Their impact is everywhere -- from education and academia to professional work and everyday life. In this talk, I will present two recent NeurIPS papers on statistics-powered AI, focusing on how statistical methodologies can enhance AI's performance in (1) aligning LLM's model outputs with human feedback, and (2) detecting LLM-generated content with rigorous guarantees. Open-source Python implementations are available at https://github.com/Mamba413/AdaDetectGPT and https://github.com/DRPO4LLM/DRPO4LLM.

报告人简介：Chengchun shi is an Associate Professor in the Department of Statistics at LSE. He works at the interface of RL, LLMs and statistics,with applications to ride-sharing and healthcare.His work brings to light the relevance and significance of statistical learning in RL,and demonstrates the usefulness of RL as a framework for policy evaluation and A/B testing in two-sided marketplaces.Chengchun has published over 50 papers,with majority of them accepted in prestigious statistical journals(JRSSB,JASA,AoS)and top machine learning venues(NeurlPS,ICML,KDD,JMLR).His outstanding contributions have been recognized with esteemed awards such as the Peter Gavin Hall IMS Early Career Prize,IMS Tweedie Award and the Royal Statistical Society Research Prize.He is serving as the associate editors of prestigious journals JRSSB JASA and AoAS.