Pythagoras-Prover: Efficient Formal Theorem Proving Breakthrough
๐กSee how a 32B model beats massive 671B parameter models in formal theorem proving using new ALF techniques.
โก 30-Second TL;DR
What Changed
Pythagoras-Prover-32B achieves 93.0% on MiniF2F-Test, setting a new open-source state of the art.
Why It Matters
This research demonstrates that compute-efficient architectures can outperform massive models in specialized formal reasoning tasks. It lowers the barrier for researchers to deploy high-performance theorem provers on practical compute budgets.
What To Do Next
Explore the Pythagoras-Prover GitHub repository to integrate these efficient provers into your automated formal verification pipeline.
Key Points
- โขPythagoras-Prover-32B achieves 93.0% on MiniF2F-Test, setting a new open-source state of the art.
- โขIntroduces Augmented Lean Formalisation (ALF) to expand verified corpora via self-distillation.
- โขUses curriculum SFT to train models on progressively harder proof problems.
- โขPythagoras-Prover-4B outperforms DeepSeek-Prover-V2-671B on MiniF2F with 167x fewer parameters.
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Original source: ArXiv AI โ