AI Leaderboard Ranks Top Finance Research Papers
Wharton professor Ethan Mollick shares an AI leaderboard that scores finance and economics papers.
TLDR
Ethan Mollick posted that AIs are retroactively reading published finance and economics papers, identifying opportunities and issues, then sharing those judgments publicly. He described the AI Referee Paper Leaderboard as both an interesting experiment and a sign of a tsunami coming for academia. The leaderboard comes from Georgetown University's AI, Analytics, and the Future of Work Initiative and uses an ensemble of LLM referees to score working papers. Visible replies raised points about plagiarism detection, journal rules against AI use by editors, accuracy questions, and possible extensions to medical literature.
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