ProverGen is a novel framework that synergizes the generative strengths of Large Language Models (LLMs) with the rigor and precision of symbolic provers to create scalable, diverse, and high-quality ...
Abstract: A unification algorithm is one of the most important parts of a First-Order Logic (FOL) inference engine because it allows for the discovery of substitutions that make two logical ...
tensor-theorem-prover can be used either as a standard symbolic first-order theorem prover, or it can be used with vector embeddings and fuzzy unification. The basic setup requires listing out ...
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