activity
20092023
most citedExploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar

20 citations · 86 across the 12 of their papers we have counts for

collaborators

14 papers

cs.AI2023

Translating SUMO-K to Higher-Order Set Theory

Chad Brown, Adam Pease, Josef Urban

We describe a translation from a fragment of SUMO (SUMO-K) into higher-order set theory. The translation provides a formal semantics for portions of SUMO which are beyond first-ord…

cs.LO2023

A Mathematical Benchmark for Inductive Theorem Provers

Thibault Gauthier, Chad E. Brown, Mikolas Janota +1

We present a benchmark of 29687 problems derived from the On-Line Encyclopedia of Integer Sequences (OEIS). Each problem expresses the equivalence of two syntactically different pr…

cs.LO2022★ 1 cited

Lash 1.0 (System Description)

Chad E. Brown, Cezary Kaliszyk

Lash is a higher-order automated theorem prover created as a fork of the theorem prover Satallax. The basic underlying calculus of Satallax is a ground tableau calculus whose rules…

cs.LO2020

Prolog Technology Reinforcement Learning Prover

Zsolt Zombori, Josef Urban, Chad E. Brown

We present a reinforcement learning toolkit for experiments with guiding automated theorem proving in the connection calculus. The core of the toolkit is a compact and easy to exte…

cs.LO2019★ 20 cited

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…

cs.AI2019★ 1 cited

Self-Learned Formula Synthesis in Set Theory

Chad E. Brown, Thibault Gauthier

A reinforcement learning algorithm accomplishes the task of synthesizing a set-theoretical formula that evaluates to given truth values for given assignments.