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OpenAI achieved a new state-of-the-art 41.2% on the miniF2F formal math olympiad benchmark using a technique called 'statement curriculum learning,' which iteratively trains a neural prover on proofs of increasing difficulty. The approach builds on iterative proof search and retraining over 8 iterations to significantly outperform the previous best of 29.3%.
OpenAI presents GPT-f, a transformer-based automated theorem prover for the Metamath formalization language, which discovered new short proofs accepted into the main Metamath library — marking the first time a deep-learning system contributed proofs adopted by a formal mathematics community.