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2025 ICML ICML 2025

Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

D. Sculley, William Cukierski, Phil Culliton, Sohier Dane, Maggie M Demkin, Ryan Holbrook, Addison Howard, Paul T Mooney, Walter Reade, Meg Risdal, Nate Keating

Topics

Artificial Intelligence > Core AI > Foundation Models Machine Learning > Optimization & Theory > Learning Theory Artificial Intelligence > Core AI > Large Language Models

Keywords

evaluation benchmarking leakage contamination competition empirical rigor
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