--- title: "Kaiyu Yang — author profile and papers — Elamur Research" description: "Kaiyu Yang: 3 papers on Elamur Research (2019–2025), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/kaiyu-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kaiyu-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kaiyu Yang # Kaiyu Yang Kaiyu Yang has 3 papers in our library, in 2019–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Aidan Swope](https://md.research.elamur.ai/free/en/authors/aidan-swope/), [Alex Gu](https://md.research.elamur.ai/free/en/authors/alex-gu/), [Anima Anandkumar](https://md.research.elamur.ai/free/en/authors/anima-anandkumar/). 3 papers in our library · 2019–2025 [OpenAlex](https://openalex.org/A5100986021) · [**h-index 3**](https://openalex.org/authors/A5100986021) · [6 works](https://openalex.org/works?filter=author.id:A5100986021) · [68 citations](https://openalex.org/works?filter=author.id:A5100986021&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/kaiyu-yang/#papers) · [🔗 Cited 423 times in our library](https://md.research.elamur.ai/free/en/authors/kaiyu-yang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4668](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4668) 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=Kaiyu+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kaiyu+Yang) · [dblp](https://dblp.org/search?q=Kaiyu+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Kaiyu+Yang) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/kaiyu-yang/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/kaiyu-yang/year/2023/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/kaiyu-yang/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[LeanDojo: Theorem Proving with Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/yang-2023-leandojo-theorem-proving-retrieval-augmented/)** *(2023 · 253 citations)* Research on machine learning for formal theorem proving has been hard to reproduce and build on. Earlier LLM-based provers kept their code and training data private, and some needed thousands of GPU-days of compute. The authors respond with LeanDojo, an open toolkit for the Lean proof assistant. It uses Lean 3 by… 2. **[Learning to Prove Theorems via Interacting with Proof Assistants](https://md.research.elamur.ai/free/en/papers/yang-2019-learning-prove-theorems-interacting-proof/)** *(2019 · 90 citations)* Classical automated theorem provers work in first-order logic and build long, low-level resolution proofs. 3. **[Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving](https://md.research.elamur.ai/free/en/papers/lin-2025-goedel-prover-frontier-model-open/)** *(2025 · 84 citations)* Training language models to write machine-checkable proofs is hard because very little mathematics exists in formal form. ## All works 5 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. **[LeanDojo: Theorem Proving with Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/yang-2023-leandojo-theorem-proving-retrieval-augmented/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kaiyu Yang, Aidan M. Swope, Alex Gu, et al.*2023 · 253 citations* 2. [**Learning to Prove Theorems via Interacting with Proof Assistants arXiv:1905.09381**Kaiyu Yang, Jia Deng*2019 · 90 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-learning-prove-theorems-interacting-proof/) 3. [**Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving arXiv:2502.07640**Yong Lin, Shange Tang, Bohan Lyu, et al.*2025 · 84 citations*](https://md.research.elamur.ai/free/en/papers/lin-2025-goedel-prover-frontier-model-open/) 4. **[Formal Mathematical Reasoning: A New Frontier in AI ↗](https://arxiv.org/abs/2412.16075) arXiv:2412.16075 · no summary yet**Kaiyu Yang et al.*2024 · 49 citations* 5. **[A Survey on Deep Learning for Theorem Proving ↗](https://arxiv.org/abs/2404.09939) arXiv:2404.09939 · no summary yet**Zhaoyu Li et al.*2024 · 46 citations* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Aidan Swope](https://md.research.elamur.ai/free/en/authors/aidan-swope/) - [Alex Gu](https://md.research.elamur.ai/free/en/authors/alex-gu/) - [Anima Anandkumar](https://md.research.elamur.ai/free/en/authors/anima-anandkumar/) - [Bohan Lyu](https://md.research.elamur.ai/free/en/authors/bohan-lyu/) - [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/) - [Jia Hao Deng](https://md.research.elamur.ai/free/en/authors/jia-hao-deng/) - [Jia Li](https://md.research.elamur.ai/free/en/authors/jia-li/) - [Jiayun Wu](https://md.research.elamur.ai/free/en/authors/jiayun-wu/) - [Mengzhou Xia](https://md.research.elamur.ai/free/en/authors/mengzhou-xia/) - [Rahul Chalamala](https://md.research.elamur.ai/free/en/authors/rahul-chalamala/) - [Ryan Prenger](https://md.research.elamur.ai/free/en/authors/ryan-prenger/) - [Sanjeev Arora](https://md.research.elamur.ai/free/en/authors/sanjeev-arora/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) ## Cited by Papers of our library cite their works 423 times (of the 149,439 papers whose bibliographies we read); [59 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kaiyu-yang/cited-by/). Updated 2 November 2026