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 126150 of 288 papers

TitleStatusHype
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic ProvingCode0
Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry0
Proceedings 12th International Workshop on Theorem proving components for Educational software0
Multi-Task Learning with Multi-Task Optimization0
Enhancing Formal Theorem Proving: A Comprehensive Dataset for Training AI Models on Coq Code0
Learning Guided Automated Reasoning: A Brief Survey0
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving0
A Categorization of Complexity Classes for Information Retrieval and Synthesis Using Natural Logic0
REFACTOR: Learning to Extract Theorems from ProofsCode0
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing ProblemCode0
EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages0
0-1 laws for pattern occurrences in phylogenetic trees and networks0
Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors0
Automated Completion of Statements and Proofs in Synthetic Geometry: an Approach based on Constraint SolvingCode0
Graph2Tac: Online Representation Learning of Formal Math Concepts0
Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method0
Automated Planning Techniques for Elementary Proofs in Abstract Algebra0
Large Language Models' Understanding of Math: Source Criticism and Extrapolation0
Generative Learning of Continuous Data by Tensor Networks0
math-PVS: A Large Language Model Framework to Map Scientific Publications to PVS Theories0
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language ModelsCode0
The Mathematical Game0
Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics0
Theorem Proving in Dependently-Typed Higher-Order Logic -- Extended PreprintCode0
Translating SUMO-K to Higher-Order Set Theory0
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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