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Session Submission Type: Paper Session
4:50pm |
Large Language Models Can Argue in Convincing and Novel Ways About Politics: Evidence from Experiments and Human Judgement - Arthur P Spirling, Princeton University; Alexis Palmer, New York University
5:03pm |
Dealing with the comparability of policy position measurements: A BERT-based scaling approach - Hung Hoang Viet Nguyen, University of Bremen
5:16pm |
PolBERT: A Suite of Pre-Trained Large Language Models for Political Science Research - Mitchell Bosley, University of Michigan; Musashi Jacobs-Harukawa, Princeton University; Alexander Hoyle, University of Maryland; Hauke Licht, University of Cologne; Patrick Y. Wu, New York University
5:29pm |
Toxic Language Detection on Social Media: A Large Language Model Approach - Yuan (Cecilia) Sui, Washington University in St Louis
5:42pm |
Patrick J Chester, University of California-San Diego
5:42pm |
Jacob Michael Montgomery, Washington University in St Louis
5:55pm |
Audience participation will last for the remainder of the session.