A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. (arXiv:2112.15594v1 [cs.LG])

We demonstrate that a neural network pre-trained on text and fine-tuned on
code solves Mathematics problems by program synthesis. We turn questions into
programming tasks, automatically generate programs, and then execute them,
perfectly solving university-level problems from MIT's large Mathematics
courses (Single Variable Calculus 18.01, Multivariable Calculus 18.02,
Differential Equations 18.03, Introduction to Probability and Statistics 18.05,
Linear Algebra 18.06, and Mathematics for Computer Science 6.042) as well as
questions from a MATH dataset (on Prealgebra, Algebra, Counting and
Probability, …

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