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Automated Theorem Proving 벤치마크

Automated Theorem Proving on HOList benchmark

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Percentage correct

32.65 36.98 41.3 45.62 49.95 2019-04 2026-09 Tactic Dependent Loop — 38.88 (2019-04-05) Deeper Wider WaveNet — 32.65 (2019-04-05) Tactic Dependent Loop — 38.88 (2019-04-05) Deeper Wider WaveNet — 32.65 (2019-04-05) 4-hop GNN, sub-expression sharing — 49.95 (2019-05-24) 4-hop GNN, sub-expression sharing — 49.95 (2019-05-24) BoW2 (extra -ves) — 36.55 (2019-05-25) BoW2 (extra -ves) — 36.55 (2019-05-25) Tactic Dependent Loop — 38.88 (2019-04-05) 4-hop GNN, sub-expression sharing — 49.95 (2019-05-24)
RankModel Percentage correct PaperCodeYear
1 4-hop GNN, sub-expression sharing 49.95 Graph Representations for Higher-Order Logic and Theorem Proving 2019
2 Tactic Dependent Loop 38.88 HOList: An Environment for Machine Learning of Higher-Order Theorem Proving tensorflow/deepmath · Kerram/Deephol-Bert-Zpp · Kerram/holist-train 2019
3 BoW2 (extra -ves) 36.55 Learning to Reason in Large Theories without Imitation 2019
4 Deeper Wider WaveNet 32.65 HOList: An Environment for Machine Learning of Higher-Order Theorem Proving tensorflow/deepmath · Kerram/Deephol-Bert-Zpp · Kerram/holist-train 2019
5 4-hop GNN, sub-expression sharing 49.95 Graph Representations for Higher-Order Logic and Theorem Proving 2019
6 Tactic Dependent Loop 38.88 HOList: An Environment for Machine Learning of Higher-Order Theorem Proving tensorflow/deepmath · Kerram/Deephol-Bert-Zpp · Kerram/holist-train 2019
7 BoW2 (extra -ves) 36.55 Learning to Reason in Large Theories without Imitation 2019
8 Deeper Wider WaveNet 32.65 HOList: An Environment for Machine Learning of Higher-Order Theorem Proving tensorflow/deepmath · Kerram/Deephol-Bert-Zpp · Kerram/holist-train 2019
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