---
title: "Hang Xue — author profile and papers — Elamur Research"
description: "Hang Xue, North China Institute of Aerospace Engineering: 2 papers on Elamur Research (2023–2024), h-index 2 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/hang-xue/"
---
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# Hang Xue

Hang Xue has 2 papers in our library, in 2023–2024, 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 [Kangkang Zhao](https://md.research.elamur.ai/free/en/authors/kangkang-zhao/), [Lei Zhu](https://md.research.elamur.ai/free/en/authors/lei-zhu/), [Liang Xu](https://md.research.elamur.ai/free/en/authors/liang-xu/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5108964187) · [ORCID](https://orcid.org/0009-0007-7672-8515) · [**h-index 2**](https://openalex.org/authors/A5108964187) · [6 works](https://openalex.org/works?filter=author.id:A5108964187) · [6 citations](https://openalex.org/works?filter=author.id:A5108964187&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hang-xue/#papers) · [🔗 Cited 36 times in our library](https://md.research.elamur.ai/free/en/authors/hang-xue/cited-by/) · [⭐ Paper Stars ranking: #8696](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8696)

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

## Affiliations

[🎓**North China Institute of Aerospace Engineering** Langfang · China 2025 · 1 paper*current*](https://ror.org/02m7msy24)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [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** 1 paper](https://md.research.elamur.ai/free/en/authors/hang-xue/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/hang-xue/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark](https://md.research.elamur.ai/free/en/papers/xu-2023-superclue-comprehensive-chinese-large/)** *(2023 · 57 citations)* Most LLM benchmarks, including Chinese ones such as C-Eval and MMCU, rely on multiple-choice accuracy. That metric says little about how users experience a model in free-form conversation. SuperCLUE addresses this gap for Chinese with three complementary parts:
2. **[SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese](https://md.research.elamur.ai/free/en/papers/xu-2024-superclue-math6-graded-multi/)** *(2024 · 6 citations)* Popular math benchmarks such as GSM8K are English-only and do not probe multi-step or sustained inference well.

## Co-authors here

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

- [Kangkang Zhao](https://md.research.elamur.ai/free/en/authors/kangkang-zhao/) ×2
- [Lei Zhu](https://md.research.elamur.ai/free/en/authors/lei-zhu/) ×2
- [Liang Xu](https://md.research.elamur.ai/free/en/authors/liang-xu/) ×2
- [Anqi Li](https://md.research.elamur.ai/free/en/authors/anqi-li/)
- [Changtai Zhu](https://md.research.elamur.ai/free/en/authors/changtai-zhu/)
- [Xuanwei Zhang](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/)
- [Zhenzhong Lan](https://md.research.elamur.ai/free/en/authors/zhenzhong-lan/)

## Cited by

Papers of our library cite their works 36 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hang-xue/cited-by/).

Updated 30 October 2026
