Weak-to-strong generalization: Eliciting strong capabilities with weak supervision
C Burns, P Izmailov, JH Kirchner, B Baker… - ar** machine learning-
based applications. We present a first-of-its-kind study showing how existing knowledge …
based applications. We present a first-of-its-kind study showing how existing knowledge …
Fast and three-rious: Speeding up weak supervision with triplet methods
Weak supervision is a popular method for building machine learning models without relying
on ground truth annotations. Instead, it generates probabilistic training labels by estimating …
on ground truth annotations. Instead, it generates probabilistic training labels by estimating …