---
title: "Ruijie Xu — author profile and papers — Elamur Research"
description: "Ruijie Xu, University of Science and Technology Liaoning: 3 papers on Elamur Research (2024–2026), h-index 8 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/ruijie-xu/"
---
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# Ruijie Xu

Ruijie Xu has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Run-Ze Fan](https://md.research.elamur.ai/free/en/authors/run-ze-fan/), [Zengzhi Wang](https://md.research.elamur.ai/free/en/authors/zengzhi-wang/), [Ethan Chern](https://md.research.elamur.ai/free/en/authors/ethan-chern/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5101580328) · [ORCID](https://orcid.org/0009-0000-0221-9768) · [**h-index 8**](https://openalex.org/authors/A5101580328) · [44 works](https://openalex.org/works?filter=author.id:A5101580328) · [242 citations](https://openalex.org/works?filter=author.id:A5101580328&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ruijie-xu/#papers) · [🔗 Cited 114 times in our library](https://md.research.elamur.ai/free/en/authors/ruijie-xu/cited-by/) · [⭐ Paper Stars ranking: #7440](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7440)

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

## Affiliations

[🎓**Hong Kong Polytechnic University** Hong Kong · China 2023–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2022–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Tencent** Shenzhen · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Inner Mongolia University of Technology** Hohhot · China 2025–2026 · 2 papers*current*](https://ror.org/05564e019) · [🎓**East China Normal University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🎓**Tongji University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tongji-university/) · [🎓**University of Science and Technology Liaoning** Anshan · China 2026 · 1 paper*current*](https://ror.org/03grx7119) · [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2024 · 5 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/ruijie-xu/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/ruijie-xu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Benchmarking Benchmark Leakage in Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2024-benchmarking-benchmark-leakage-large-language/)** *(2024 · 73 citations)* Large language models are often trained on undisclosed corpora that may include public benchmark data, sometimes on purpose.
2. **[OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI](https://md.research.elamur.ai/free/en/papers/huang-2024-olympicarena-benchmarking-multi-discipline-cognitive/)** *(2024 · 56 citations)* Existing exam-style benchmarks for LLMs and LMMs mostly test knowledge recall or simple concept application, and they usually grade only final answers.
3. **[Rethinking Data Mixing from the Perspective of Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-rethinking-data-mixing-perspective-large/)** *(2026)* The paper asks how training data from different domains should be weighted when pretraining LLMs. It also asks whether human-assigned domain labels (e.g. C4, Wikipedia, ArXiv, Book) match what the model itself treats as distinct. The authors observe that per-sample gradients form clearly separated clusters by source…

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Run-Ze Fan](https://md.research.elamur.ai/free/en/authors/run-ze-fan/) ×2
- [Zengzhi Wang](https://md.research.elamur.ai/free/en/authors/zengzhi-wang/) ×2
- [Ethan Chern](https://md.research.elamur.ai/free/en/authors/ethan-chern/)
- [Guang Zhang](https://md.research.elamur.ai/free/en/authors/guang-zhang/)
- [Haoyang Zou](https://md.research.elamur.ai/free/en/authors/haoyang-zou/)
- [Lyumanshan Ye](https://md.research.elamur.ai/free/en/authors/lyumanshan-ye/)
- [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/)
- [Shijie Xia](https://md.research.elamur.ai/free/en/authors/shijie-xia/)
- [Xuefeng Li](https://md.research.elamur.ai/free/en/authors/xuefeng-li/)
- [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/)
- [Yikai Zhang](https://md.research.elamur.ai/free/en/authors/yikai-zhang/)
- [Yixin Ye](https://md.research.elamur.ai/free/en/authors/yixin-ye/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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 114 times (of the 149,439 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ruijie-xu/cited-by/).

Updated 2 November 2026
