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Virtual Exhibit Hall
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Session Submission Type: Paper Session
8:05am |
From RAGs to riches: adding complexity to the AI research process wIth large-scale Chinese text. - Pierre F. Landry, Chinese University of Hong Kong; Zheng Zhang, Chinese University of Hong Kong
8:15am |
Generative AI and Replication: Understanding the Tradeoffs - Ryan P. Kennedy, The Ohio State University, Main Campus; Ali Amini, American University
8:25am |
Seeing, Hearing, and Reading Politics: A Framework for Using Multi-modal Large Language Models in Social Science Research - Chandler Jackson L'Hommedieu, The Ohio State University, Main Campus
8:35am |
The Imagined Congress: What Generative AI Models Think U.S. Politicians Look Like - Ezgi Siir Kibris, Rochester Institute of Technology; Cantay Caliskan, University of Rochester; Da Gong, SUNY College at Geneseo; Andong Yan, University of Hong Kong
8:45am |
Using Generative AI to Identify Emphasis Frames - Gechun Lin, Texas A&M University; Tianyi Yang, Texas A&M University; Zhengyu Xiao, Texas A&M University
8:55am |
Max Harrison Goplerud, University of Texas at Austin
8:55am |
Ethan C Busby, Brigham Young University, Provo
9:05am |
Audience participation will last for the remainder of the session.