We examine whether self-supervised language modeling applied to mathemat...
Commutativity of data structure methods is of ongoing interest, with roo...
We design and conduct a simple experiment to study whether neural networ...
Automated theorem proving in large theories can be learned via reinforce...
This paper presents the first use of graph neural networks (GNNs) for
hi...
We present an environment, benchmark, and deep learning driven automated...
We present an environment, benchmark, and deep learning driven automated...
Reasoning about commutativity between data-structure operations is an
im...