SOTAVerified

Automated Theorem Proving

The goal of Automated Theorem Proving is to automatically generate a proof, given a conjecture (the target theorem) and a knowledge base of known facts, all expressed in a formal language. Automated Theorem Proving is useful in a wide range of applications, including the verification and synthesis of software and hardware systems.

Source: Learning to Prove Theorems by Learning to Generate Theorems

Papers

Showing 101125 of 288 papers

TitleStatusHype
COVER: Covering the Semantically Tractable Questions0
Hammering Mizar by Learning Clause Guidance0
Generating Compressed Combinatory Proof Structures -- An Approach to Automated First-Order Theorem Proving0
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective0
Applying Second-Order Quantifier Elimination in Inspecting Gödel's Ontological Proof0
Lean-STaR: Learning to Interleave Thinking and Proving0
CSPLib: Twenty Years On0
Hua-Chen New Theory of Economic Optimization0
A Certified Proof Checker for Deep Neural Network Verification in Imandra0
HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement0
CD Tools -- Condensed Detachment and Structure Generating Theorem Proving (System Description)0
HyperTree Proof Search for Neural Theorem Proving0
Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring0
Improving QED-Tutrix by Automating the Generation of Proofs0
0-1 laws for pattern occurrences in phylogenetic trees and networks0
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models0
From Width-Based Model Checking to Width-Based Automated Theorem Proving0
Interactive, Intelligent Tutoring for Auxiliary Constructions in Geometry Proofs0
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning0
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook0
Formal Theorem Proving by Rewarding LLMs to Decompose Proofs Hierarchically0
Blocking and Other Enhancements for Bottom-Up Model Generation Methods0
Formal Specifications from Natural Language0
BliStrTune: Hierarchical Invention of Theorem Proving Strategies0
Adversarial Learning to Reason in an Arbitrary Logic0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Kimina-Prover-Previewcumulative80.74Unverified
2ProofAugcumulative66Unverified
3DeepSeek-Prover-V1.5cumulative63.5Unverified
4Subgoal-XLcumulative56.1Unverified
5DeepSeek-Provercumulative52Unverified
6Lyra + GPT-4cumulative47.1Unverified
7LEGO-Prover ChatGPTcumulative47.1Unverified
8Decomposing the Enigmacumulative45.5Unverified
9Evaristecumulative41Unverified
10Evariste-7dcumulative40.6Unverified
#ModelMetricClaimedVerifiedStatus
1EvaristePass@6458.6Unverified
2LEGO-Prover ChatGPTPass@10057Unverified
3Lyra + GPT-4Pass@10052Unverified
4Evariste-7dPass@6447.5Unverified
5GPT-fPass@6447.3Unverified
6Evariste-1dPass@6446.7Unverified
7DSP (62B Minerva informal)Pass@10043.9Unverified
8Lean GPT-fPass@829.3Unverified
9Lean tidyPass@116.8Unverified
10Metamath GPT-fPass@82Unverified
#ModelMetricClaimedVerifiedStatus
1MPNN-DagLSTMClassification Accuracy0.92Unverified
2FormulaNetClassification Accuracy0.9Unverified
3FormulaNet-basicClassification Accuracy0.89Unverified
4Siamese 1D CNN-LSTMClassification Accuracy0.83Unverified
5Siamese 1D CNNClassification Accuracy0.82Unverified
#ModelMetricClaimedVerifiedStatus
14-hop GNN, sub-expression sharingPercentage correct49.95Unverified
2Tactic Dependent LoopPercentage correct38.88Unverified
3BoW2 (extra -ves)Percentage correct36.55Unverified
4Deeper Wider WaveNetPercentage correct32.65Unverified
#ModelMetricClaimedVerifiedStatus
1FormulaNetClassification Accuracy0.9Unverified
2FormulaNet-basicClassification Accuracy0.89Unverified
31D CNNClassification Accuracy0.83Unverified
41D CNN-LSTMClassification Accuracy0.83Unverified
#ModelMetricClaimedVerifiedStatus
1EvaristePass@3272.4Unverified
2GPT-fPercentage correct56.2Unverified
3MetaGen-IL + HolophrasmPercentage correct22.1Unverified
4HolophrasmPercentage correct14.3Unverified
#ModelMetricClaimedVerifiedStatus
1Evariste-7dPass@6442.5Unverified
2Evariste-1dPass@6433.6Unverified
3EvaristePass@6432.1Unverified
4GPT-fPass@6430.6Unverified
#ModelMetricClaimedVerifiedStatus
1Proverbot9001Percentage correct19.36Unverified
2CoqGym/ASTacticPercentage correct4.99Unverified
#ModelMetricClaimedVerifiedStatus
1ASTacticPercentage correct12.2Unverified