--- title: "Huaiyuan Ying · Tsinghua University — author profile and papers" description: "Huaiyuan Ying, Tsinghua University: 3 papers on Elamur Research (2024), h-index 6 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/huaiyuan-ying/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/huaiyuan-ying/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Huaiyuan Ying # Huaiyuan Ying Huaiyuan Ying has 3 papers in our library, in 2024, 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/); often with [Zijian Wu](https://md.research.elamur.ai/free/en/authors/zijian-wu/), [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/), [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/). 3 papers in our library · 2024 [OpenAlex](https://openalex.org/A5017881866) · [ORCID](https://orcid.org/0000-0001-7959-2093) · [**h-index 6**](https://openalex.org/authors/A5017881866) · [18 works](https://openalex.org/works?filter=author.id:A5017881866) · [193 citations](https://openalex.org/works?filter=author.id:A5017881866&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/huaiyuan-ying/#papers) · [🔗 Cited 537 times in our library](https://md.research.elamur.ai/free/en/authors/huaiyuan-ying/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6154](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6154) 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=Huaiyuan+Ying) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Huaiyuan+Ying) · [dblp](https://dblp.org/search?q=Huaiyuan+Ying) · [ACL Anthology](https://aclanthology.org/search/?q=Huaiyuan+Ying) ## Affiliations [🎓**Tsinghua University** Beijing · China 2021–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/huaiyuan-ying/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning](https://md.research.elamur.ai/free/en/papers/ying-2024-internlm-math-open-math-large/)** *(2024 · 90 citations)* InternLM-Math is a family of open math-specialised LLMs from Shanghai AI Laboratory and partner universities. 2. **[Lean Workbook: A large-scale Lean problem set formalized from natural language math problems](https://md.research.elamur.ai/free/en/papers/ying-2024-lean-workbook-large-scale-lean/)** *(2024 · 80 citations)* Large language models do well on informal math but poorly on formal theorem proving in Lean. A main reason is the lack of formal training data: MiniF2F is small, and Mathlib mostly covers foundational theorems rather than competition problems. The authors built an active-learning autoformalization pipeline that… 3. **[InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search](https://md.research.elamur.ai/free/en/papers/wu-2024-internlm2-5-stepprover-advancing-automated/)** *(2024 · 59 citations)* Most LLM theorem provers for LEAN build a proof one tactic at a time. They pick which proof state to expand next using the prover's own log-probabilities. That signal gets unreliable as proofs get longer, so these systems rarely find deep proofs. The authors add a separate critic model that scores each proof state.… ## All works 4 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. [**InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning arXiv:2402.06332**Huaiyuan Ying, Shuo Zhang, Linyang Li, et al.*2024 · 90 citations*](https://md.research.elamur.ai/free/en/papers/ying-2024-internlm-math-open-math-large/) 2. **[Lean Workbook: A large-scale Lean problem set formalized from natural language math problems](https://md.research.elamur.ai/free/en/papers/ying-2024-lean-workbook-large-scale-lean/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Huaiyuan Ying, Zijian Wu, Yihan Geng, et al.*2024 · 80 citations* 3. [**InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search arXiv:2410.15700**Zijian Wu, Suozhi Huang, Zhejian Zhou, et al.*2024 · 59 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-internlm2-5-stepprover-advancing-automated/) 4. **[Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving ↗](https://arxiv.org/abs/2507.23726) arXiv:2507.23726 · no summary yet**Luoxin Chen et al.*2025 · 46 citations* ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Zijian Wu](https://md.research.elamur.ai/free/en/authors/zijian-wu/) ×3 - [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/) ×2 - [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/) ×2 - [Zhejian Zhou](https://md.research.elamur.ai/free/en/authors/zhejian-zhou/) ×2 - [Zheng Yuan](https://md.research.elamur.ai/free/en/authors/zheng-yuan/) ×2 - [Kuikun Liu](https://md.research.elamur.ai/free/en/authors/kuikun-liu/) - [Linyang Li](https://md.research.elamur.ai/free/en/authors/linyang-li/) - [Shuo Zhang](https://md.research.elamur.ai/free/en/authors/shuo-zhang/) - [Wenwei Zhang](https://md.research.elamur.ai/free/en/authors/wenwei-zhang/) - [Yichuan Ma](https://md.research.elamur.ai/free/en/authors/yichuan-ma/) - [Yihan Geng](https://md.research.elamur.ai/free/en/authors/yihan-geng/) - [Yudong Wang](https://md.research.elamur.ai/free/en/authors/yudong-wang/) ## 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 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 537 times (of the 149,439 papers whose bibliographies we read); [124 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/huaiyuan-ying/cited-by/). Updated 2 November 2026