--- title: "Zicheng Xu — author profile and papers — Elamur Research" description: "Zicheng Xu, Google: 2 papers on Elamur Research (2024), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zicheng-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zicheng-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zicheng Xu # Zicheng Xu Zicheng Xu has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Tian Ye](https://md.research.elamur.ai/free/en/authors/tian-ye/), [Yuanzhi Li](https://md.research.elamur.ai/free/en/authors/yuanzhi-li/), [Zeyuan Allen-Zhu](https://md.research.elamur.ai/free/en/authors/zeyuan-allen-zhu/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5112577813) · [**h-index 2**](https://openalex.org/authors/A5112577813) · [3 works](https://openalex.org/works?filter=author.id:A5112577813) · [10 citations](https://openalex.org/works?filter=author.id:A5112577813&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zicheng-xu/#papers) · [🔗 Cited 79 times in our library](https://md.research.elamur.ai/free/en/authors/zicheng-xu/cited-by/) · [⭐ Paper Stars ranking: #8660](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8660) 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=Zicheng+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zicheng+Xu) · [dblp](https://dblp.org/search?q=Zicheng+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Zicheng+Xu) ## Affiliations [🏢**Google** Mountain View · United States 2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) 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).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zicheng-xu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process](https://md.research.elamur.ai/free/en/papers/ye-2024-physics-language-models-part-2/)** *(2024 · 58 citations)* Do language models actually reason through grade-school math, or do they reuse memorized templates? Internet-pretrained models cannot answer this because of possible benchmark contamination, so the authors built iGSM, a synthetic generator of GSM8K-style word problems. 2. **[Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems](https://md.research.elamur.ai/free/en/papers/ye-2024-physics-language-models-part-2-2/)** *(2024 · 31 citations)* Strong language models still make reasoning slips. They can often fix these when prompted to re-check their work, but not while they are generating. This paper asks whether the ability to catch and repair errors mid-solution can be built in during pretraining. To keep the experiments controlled, the authors use iGSM… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Tian Ye](https://md.research.elamur.ai/free/en/authors/tian-ye/) ×2 - [Yuanzhi Li](https://md.research.elamur.ai/free/en/authors/yuanzhi-li/) ×2 - [Zeyuan Allen-Zhu](https://md.research.elamur.ai/free/en/authors/zeyuan-allen-zhu/) ×2 ## Cited by Papers of our library cite their works 79 times (of the 149,439 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zicheng-xu/cited-by/). Updated 3 November 2026