Existing techniques for training language models can be misaligned with ...
While programming is one of the most broadly applicable skills in modern...
Many specialized domains remain untouched by deep learning, as large lab...
Feature alignment is an approach to improving robustness to distribution...
Many intellectual endeavors require mathematical problem solving, but th...
We propose a new test to measure a text model's multitask accuracy. The ...
We show how to assess a language model's knowledge of basic concepts of
...
We study the space complexity of solving the bias-regularized SVM proble...
While many methods for interpreting machine learning models have been
pr...