计算机科学
机器翻译
变压器
布鲁
编码器
人工智能
可并行流形
解析
自然语言处理
语言模型
解码方法
任务(项目管理)
卷积神经网络
语音识别
机器学习
算法
电压
经济
管理
物理
操作系统
量子力学
作者
Jakubův, Jan,Chvalovský, Karel,Goertzel, Zarathustra,Kaliszyk, Cezary,Olšák, Mirek,Piotrowski, Bartosz,Schulz, Stephan,Suda, Martin,Urban, Josef
标识
DOI:10.4230/lipics.itp.2023.19
摘要
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.
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