Every year, tens of thousands of AI research papers compete for a spot at the world's top academic conferences and a small group of reviewers has to decide which ones make the cut. New research from the Wharton School points to a simple and overlooked solution: ask the authors themselves to rank their submissions. … Read More The post Why Authors Are Better at Predicting Impact Than Peer Review appeared first on Wharton AI & Analytics Initiative .
Why Authors Are Better at Predicting Impact Than Peer Review
Nyrie Bouloutian

