---
title: "Jiahang Xu — author profile and papers — Elamur Research"
description: "Jiahang Xu, Guangdong University of Foreign Studies: 2 papers on Elamur Research (2024), h-index 7 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/jiahang-xu/"
---
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# Jiahang Xu

Jiahang 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 [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/), [Li Lyna Zhang](https://md.research.elamur.ai/free/en/authors/li-lyna-zhang/), [Mao Yang](https://md.research.elamur.ai/free/en/authors/mao-yang/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5065385916) · [ORCID](https://orcid.org/0000-0001-9186-619X) · [**h-index 7**](https://openalex.org/authors/A5065385916) · [19 works](https://openalex.org/works?filter=author.id:A5065385916) · [480 citations](https://openalex.org/works?filter=author.id:A5065385916&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiahang-xu/#papers) · [🔗 Cited 198 times in our library](https://md.research.elamur.ai/free/en/authors/jiahang-xu/cited-by/) · [⭐ Paper Stars ranking: #6293](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6293)

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=Jiahang+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiahang+Xu) · [dblp](https://dblp.org/search?q=Jiahang+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Jiahang+Xu)

## Affiliations

[🎓**Zhejiang University** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Guangdong University of Foreign Studies** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/guangdong-university-of-foreign-studies/) · [🏢**Microsoft** Redmond · United States 2022–2024 · 6 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Fudan University** Shanghai · China 2019–2022 · 5 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 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/jiahang-xu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens](https://md.research.elamur.ai/free/en/papers/ding-2024-longrope-extending-llm-context/)** *(2024 · 142 citations)* Most large language models can only work with a fixed span of text. LLaMA2, for example, is limited to 4096 tokens, and earlier extension methods stopped around 128k. Going further is hard for three reasons: unseen position indices destabilize training, very long training texts are scarce and expensive to use, and…
2. **[Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers](https://md.research.elamur.ai/free/en/papers/qi-2024-mutual-reasoning-makes-smaller-llms/)** *(2024 · 74 citations)* Small language models (SLMs) are often weak at multi-step reasoning. The usual fix is fine-tuning on data produced by a stronger model such as GPT-4. Self-improvement methods that avoid a teacher, such as RAP, tend to fail on small models for two reasons: they explore the solution space poorly, and they cannot…

## Co-authors here

7 co-authors with a page, the most papers together first.

- [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) ×2
- [Li Lyna Zhang](https://md.research.elamur.ai/free/en/authors/li-lyna-zhang/) ×2
- [Mao Yang](https://md.research.elamur.ai/free/en/authors/mao-yang/) ×2
- [Chengruidong Zhang](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/)
- [Ning Shang](https://md.research.elamur.ai/free/en/authors/ning-shang/)
- [Yiran Ding](https://md.research.elamur.ai/free/en/authors/yiran-ding/)
- [Zhenting Qi](https://md.research.elamur.ai/free/en/authors/zhenting-qi/)

## Cited by

Papers of our library cite their works 198 times (of the 149,439 papers whose bibliographies we read); [49 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiahang-xu/cited-by/).

Updated 2 November 2026
