W Liu, H Hu, J Zhou, Y Ding, J Li, J Zeng, M He… - arXiv preprint arXiv …, 2023 - arxiv.org
In recent years, there has been remarkable progress in leveraging Language Models (LMs), encompassing Pre-trained Language Models (PLMs) and Large-scale Language Models …
The future is big graphs: a community view on graph processing systems Page 1 62 COMMUNICATIONS OF THE ACM | SEPTEMBER 2021 | VOL. 64 | NO. 9 contributed articles …
In theorem proving, the task of selecting useful premises from a large library to unlock the proof of a given conjecture is crucially important. This presents a challenge for all theorem …
T Hales, M Adams, G Bauer, TD Dang… - … of mathematics, Pi, 2017 - cambridge.org
A FORMAL PROOF OF THE KEPLER CONJECTURE Page 1 Forum of Mathematics, Pi (2017), Vol. 5, e2, 29 pages doi:10.1017/fmp.2017.1 1 A FORMAL PROOF OF THE KEPLER …
G Bancerek, C Byliński, A Grabowski… - Journal of Automated …, 2018 - Springer
The Mizar system is one of the pioneering systems aimed at supporting mathematical proof development on a computer that have laid the groundwork for and eventually have evolved …
We present Voevodsky's construction of a model of univalent type theory in the category of simplicial sets. To this end, we first give a general technique for constructing categorical …
M Wang, Y Tang, J Wang… - Advances in neural …, 2017 - proceedings.neurips.cc
We propose a deep learning-based approach to the problem of premise selection: selecting mathematical statements relevant for proving a given conjecture. We represent a higher …
K Yang, J Deng - International Conference on Machine …, 2019 - proceedings.mlr.press
Humans prove theorems by relying on substantial high-level reasoning and problem- specific insights. Proof assistants offer a formalism that resembles human mathematical …
The main ingredients underlying this approach are efficient automatic theorem provers that can cope with hundreds of axioms, suitable translations of the proof assistant's logic to the …