Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzie Alexander Lyzhov Michael Pieler Alicia Parrish Aaron Mueller Ameya Prabhu Euan McLean Aaron Kirtland Alexis Ross Alisa Liu Andrew Gritsevskiy Daniel Wurgaft Derik Kauffman Gabriel Recchia Jiacheng Liu Joe Cavanagh Max Weiss Sicong Huang The Floating Droid Tom Tseng Tomasz Korbak Xudong Shen Yuhui Zhang Zhengping Zhou Najoung Kim Samuel R. Bowman Ethan Perez

Published in: CoRR (2023)

Keyphrases

orthogonal matrices
objective function
database
machine learning
high quality
reinforcement learning
artificial intelligence
feature selection
website
scaling factors
correlation matrix