--- title: "Markus N. Rabe — author profile and papers · Reasoning" description: "Markus N. Rabe: 3 papers on Elamur Research (2019–2023), h-index 18 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/markus-n-rabe/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/markus-n-rabe/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Markus N. Rabe # Markus N. Rabe Markus N. Rabe has 3 papers in our library, in 2019–2023, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Christian Szegedy](https://md.research.elamur.ai/free/en/authors/christian-szegedy/), [Albert Q. Jiang](https://md.research.elamur.ai/free/en/authors/albert-q-jiang/), [Kshitij Bansal](https://md.research.elamur.ai/free/en/authors/kshitij-bansal/). 3 papers in our library · 2019–2023 [OpenAlex](https://openalex.org/A5072217103) · [ORCID](https://orcid.org/0000-0003-4795-7259) · [**h-index 18**](https://openalex.org/authors/A5072217103) · [55 works](https://openalex.org/works?filter=author.id:A5072217103) · [1,443 citations](https://openalex.org/works?filter=author.id:A5072217103&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/markus-n-rabe/#papers) · [🔗 Cited 567 times in our library](https://md.research.elamur.ai/free/en/authors/markus-n-rabe/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4471](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4471) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Markus+N.+Rabe) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Markus+N.+Rabe) · [dblp](https://dblp.org/search?q=Markus+N.+Rabe) · [ACL Anthology](https://aclanthology.org/search/?q=Markus+N.+Rabe) ## Affiliations [🏢**Google** Mountain View · United States 2018–2022 · 17 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of California, Berkeley** Berkeley · United States 2015–2019 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Saarland University** Saarbrücken · Germany 2010–2015 · 11 papers](https://md.research.elamur.ai/free/en/universities/saarland-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/markus-n-rabe/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/markus-n-rabe/year/2022/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/markus-n-rabe/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Autoformalization with Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2022-autoformalization-large-language-models/)** *(2022 · 204 citations)* Turning informal mathematics into machine-checkable form normally requires expert effort, and very little aligned data exists that pairs natural-language math with formal code. 2. **[Baldur: Whole-Proof Generation and Repair with Large Language Models](https://md.research.elamur.ai/free/en/papers/first-2023-baldur-whole-proof-generation-repair/)** *(2023 · 175 citations)* Writing machine-checked proofs for software verification is very costly. Earlier neural provers reduce this by predicting one tactic at a time and searching over proof states, which requires constant back-and-forth between a GPU-hosted model and a CPU-bound proof assistant. Baldur takes a simpler route. It fine-tunes… 3. **[HOList: An Environment for Machine Learning of Higher-Order Theorem Proving](https://md.research.elamur.ai/free/en/papers/bansal-2019-holist-environment-machine-learning-higher/)** *(2019 · 78 citations)* Learning-based theorem proving has lacked a shared, large-scale benchmark. Existing proof assistants use incompatible logical foundations, and earlier datasets were either small or scored only with proxy metrics. HOList fills this gap. It is an open-source environment built on the HOL Light interactive prover… ## All works 12 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**Autoformalization with Large Language Models arXiv:2205.12615**Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.*2022 · 204 citations*](https://md.research.elamur.ai/free/en/papers/wu-2022-autoformalization-large-language-models/) 2. [**Baldur: Whole-Proof Generation and Repair with Large Language Models arXiv:2303.04910**Emily First, Markus N. Rabe, Talia Ringer, et al.*2023 · 175 citations*](https://md.research.elamur.ai/free/en/papers/first-2023-baldur-whole-proof-generation-repair/) 3. **[Memorizing Transformers ↗](https://arxiv.org/abs/2203.08913) arXiv:2203.08913 · no summary yet**Yuhuai Wu et al.*2022 · 163 citations* 4. [**HOList: An Environment for Machine Learning of Higher-Order Theorem Proving arXiv:1904.03241**Kshitij Bansal, Sarah M. Loos, Markus N. Rabe, et al.*2019 · 78 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2019-holist-environment-machine-learning-higher/) 5. **[Mathematical Reasoning via Self-supervised Skip-tree Training ↗](https://arxiv.org/abs/2006.04757) arXiv:2006.04757 · no summary yet**Markus N. Rabe et al.*2020 · 54 citations* 6. **[LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning ↗](https://arxiv.org/abs/2101.06223) arXiv:2101.06223 · no summary yet**Yuhuai Wu et al.*2021 · 39 citations* 7. **[Learning to Reason in Large Theories without Imitation ↗](https://arxiv.org/abs/1905.10501) arXiv:1905.10501 · no summary yet**Kshitij Bansal et al.*2019 · 36 citations* 8. **[Mathematical Reasoning in Latent Space ↗](https://arxiv.org/abs/1909.11851) arXiv:1909.11851 · no summary yet**Dennis Lee et al.*2019 · 33 citations* 9. **[Graph Representations for Higher-Order Logic and Theorem Proving ↗](https://arxiv.org/abs/1905.10006) arXiv:1905.10006 · no summary yet**Aditya Paliwal et al.*2019 · 33 citations* 10. **[Teaching Temporal Logics to Neural Networks ↗](https://arxiv.org/abs/2003.04218) arXiv:2003.04218 · no summary yet**Christopher Hahn et al.*2020 · 24 citations* 11. **[Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning ↗](https://arxiv.org/abs/1807.08058) arXiv:1807.08058 · no summary yet**Gil Lederman et al.*2018 · 12 citations* 12. **[Towards the Automatic Mathematician ↗](https://doi.org/10.1007/978-3-030-79876-5_2) Lecture notes in computer science · no summary yet**Markus N. Rabe, Christian Szegedy*2021 · 8 citations* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Christian Szegedy](https://md.research.elamur.ai/free/en/authors/christian-szegedy/) ×2 - [Albert Q. Jiang](https://md.research.elamur.ai/free/en/authors/albert-q-jiang/) - [Kshitij Bansal](https://md.research.elamur.ai/free/en/authors/kshitij-bansal/) - [Mateja Jamnik](https://md.research.elamur.ai/free/en/authors/mateja-jamnik/) - [Sarah M. Loos](https://md.research.elamur.ai/free/en/authors/sarah-m-loos/) - [Wenda Li](https://md.research.elamur.ai/free/en/authors/wenda-li/) - [Yuhuai Wu](https://md.research.elamur.ai/free/en/authors/yuhuai-wu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Lecture notes in computer science ## Cited by Papers of our library cite their works 567 times (of the 149,439 papers whose bibliographies we read); [104 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/markus-n-rabe/cited-by/). Updated 2 November 2026