3260 papers • 126 benchmarks • 313 datasets
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
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These leaderboards are used to track progress in automated-theorem-proving-41
Use these libraries to find automated-theorem-proving-41 models and implementations
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