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Subhash, Josh, and David were co-first authors on this project. The full paper is here, and our code can be found here. TLDR We empirically study the success of weak-to-strong oversight as we scale the intelligence of the weak overseer model (Guard) and strong adversary model (Houdini) in four oversight...
Emile Delcourt, David Baek, Adriano Hernandez, Erik Nordby with advising from Apart Lab Studio Introduction & Problem Statement Helpful, Harmless, and Honest (”HHH”, Askell 2021) is a framework for aligning large language models (LLMs) with human values and expectations. In this context, "helpful" means the model strives to assist users...