“Exploiting Generative AI to Scale up Intelligent Tutoring Systems” (2023), by Jakubův, Jan et al. Computer Science research paper. Original abstract below, unchanged. No free PDF was found.

Exploiting Generative AI to Scale up Intelligent Tutoring Systems

Jakubův, Jan, Chvalovský, Karel, Goertzel, Zarathustra et al. · January 1, 2023 · Computer Science

Abstract

As a present to Mizar on its 50th anniversary, we develop an AI/TP system that automatically proves about 60% of the Mizar theorems in the hammer setting. We also automatically prove 75% of the Mizar theorems when the automated provers are helped by using only the premises used in the human-written Mizar proofs. We describe the methods and large-scale experiments leading to these results. This includes in particular the E and Vampire provers, their ENIGMA and Deepire learning modifications, a number of learning-based premise selection methods, and the incremental loop that interleaves growing a corpus of millions of ATP proofs with training increasingly strong AI/TP systems on them. We also present a selection of Mizar problems that were proved automatically.

Source page DOI: 10.4230/lipics.itp.2023.19