29 citations · 56 across the 17 of their papers we have counts for
3 papers · 1 filter
Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
Qingxiang Wang, Chad Brown, Cezary Kaliszyk +1
In this paper we share several experiments trying to automatically translate informal mathematics into formal mathematics. In our context informal mathematics refers to human-writt…
Can Neural Networks Learn Symbolic Rewriting?
Bartosz Piotrowski, Josef Urban, Chad E. Brown +1
This work investigates if the current neural architectures are adequate for learning symbolic rewriting. Two kinds of data sets are proposed for this research -- one based on autom…
GRUNGE: A Grand Unified ATP Challenge
Chad E. Brown, Thibault Gauthier, Cezary Kaliszyk +2
This paper describes a large set of related theorem proving problems obtained by translating theorems from the HOL4 standard library into multiple logical formalisms. The formalism…