ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
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Cited by 75 in LLM reasoning, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We introduce ProofNet, a benchmark for autoformalization and formal proving of undergraduate-level mathematics. The ProofNet benchmarks consists of 371 examples, each consisting of a formal theorem statement in Lean 3, a natural language theorem statement, and a natural language proof. The problems are primarily drawn from popular undergraduate pure mathematics textbooks and cover topics such as real and complex analysis, linear algebra, abstract algebra, and topology. We intend for ProofNet to be a challenging benchmark that will drive progress in autoformalization and automatic theorem proving. We report baseline results on statement autoformalization via in-context learning. Moreover, we introduce two novel statement autoformalization methods: prompt retrieval and distilled backtranslation.
Key facts. Cited by 180 papers in the map (data through 7 Oct 2026). Builds on 25 of its 39 references that are in the map. First posted on arXiv 24 Feb 2023.
Builds on
25 of 39 references.
References · 25
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- 2021MiniF2F: a cross-system benchmark for formal Olympiad-level mathematicscited by 380
- 2020Generative Language Modeling for Automated Theorem Provingcited by 379
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- 2017Unsupervised Machine Translation Using Monolingual Corpora Onlycited by 272
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- 2019The Lean mathematical librarycited by 127
- 2019Learning to Prove Theorems via Interacting with Proof Assistantscited by 107
- 2022Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Proverscited by 97
- 2023The unreasonable effectiveness of few-shot learning for machine translationcited by 91
- 2016DeepMath - Deep Sequence Models for Premise Selectioncited by 80
- 2021NaturalProofs: Mathematical Theorem Proving in Natural Languagecited by 80
- 2022NaturalProver: Grounded Mathematical Proof Generation with Language Modelscited by 72
- 2018First Experiments with Neural Translation of Informal to Formal Mathematicscited by 52
- 2021Unsupervised Neural Machine Translation with Generative Language Models Onlycited by 24
- 2019Formalising perfectoid spacescited by 7
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Citing papers per year: 2023: 15; 2024: 27; 2025: 75; 2026: 63.
180 papers.
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