Thor: WieldingHammerstoIntegrateLanguage ModelsandAutomatedTheoremProvers

Neural Information Processing Systems 

In theorem proving, the task of selecting useful premises from alarge library to unlock the proof of a given conjecture is crucially important. This presents a challenge foralltheorem provers,especially theonesbasedonlanguage models, due to their relative inability to reason over huge volumes of premises in text form.

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