🛠️ TheoremSmith: Mass-Producing Hard Proof Problems to Train LLMs

Summary
TheoremSmith is a pipeline designed to mass-produce synthetic formal verification environments and multi-hour, frontier-difficulty proof problems. It aims to help train large language models using reinforcement learning environments paired with verifiers.

Why it’s interesting
It provides a scalable pipeline to generate complex synthetic formal verification tasks for training LLMs on proofs.

Target user
AI researchers and developers training language models on formal verification and math proofs.

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