--- title: "Xuanwei Zhang — author profile and papers — Elamur Research" description: "Xuanwei Zhang, State Grid Corporation of China: 5 papers on Elamur Research (2020–2023), h-index 2 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/xuanwei-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuanwei-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuanwei Zhang # Xuanwei Zhang Xuanwei Zhang has 5 papers in our library, in 2020–2023, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/); often with [Liang Xu](https://md.research.elamur.ai/free/en/authors/liang-xu/), [Qianqian Dong](https://md.research.elamur.ai/free/en/authors/qianqian-dong/), [Cong Yu](https://md.research.elamur.ai/free/en/authors/cong-yu/). 5 papers in our library · 2020–2023 [OpenAlex](https://openalex.org/A5029063455) · [ORCID](https://orcid.org/0009-0008-4350-7887) · [**h-index 2**](https://openalex.org/authors/A5029063455) · [7 works](https://openalex.org/works?filter=author.id:A5029063455) · [56 citations](https://openalex.org/works?filter=author.id:A5029063455&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/#papers) · [🔗 Cited 289 times in our library](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/cited-by/) · [⭐ Paper Stars ranking: #4333](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4333) 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=Xuanwei+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuanwei+Zhang) · [dblp](https://dblp.org/search?q=Xuanwei+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Xuanwei+Zhang) ## Affiliations [🏢**State Grid Corporation of China** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) · [🎓**Hunan Normal University** Changsha · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/hunan-normal-university/) 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 4 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/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/year/2023/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/year/2021/) · [**2020** 3 papers](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[CLUE: A Chinese Language Understanding Evaluation Benchmark](https://md.research.elamur.ai/free/en/papers/xu-2020-clue-chinese-language-understanding/)** *(2020 · 244 citations)* Shared benchmarks such as GLUE and SuperGLUE have driven progress in English NLU, but Chinese had no comparable standard. 2. **[CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese](https://md.research.elamur.ai/free/en/papers/xu-2020-cluener2020-fine-grained-named/)** *(2020 · 69 citations)* Chinese NER research has mostly relied on datasets with only a few coarse entity types (person, location, organization), and current models already score near 95 F1 on them. 3. **[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: 4. **[CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model](https://md.research.elamur.ai/free/en/papers/xu-2020-cluecorpus2020-large-scale-chinese/)** *(2020 · 57 citations)* Large English pre-training corpora such as C4 and WebText are openly available. Chinese has had only small public collections, such as Chinese Wikipedia (about 1 GB) and THUCTC (about 2 GB). The CLUE organization addresses this gap with CLUECorpus2020, also called C5. It contains roughly 100 GB of Chinese text taken… 5. **[FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark](https://md.research.elamur.ai/free/en/papers/xu-2021-fewclue-chinese-few-shot/)** *(2021 · 54 citations)* Chinese NLP had no shared benchmark for comparing few-shot methods, so new techniques could not be measured against each other under common conditions. ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Liang Xu](https://md.research.elamur.ai/free/en/authors/liang-xu/) ×5 - [Qianqian Dong](https://md.research.elamur.ai/free/en/authors/qianqian-dong/) ×3 - [Cong Yu](https://md.research.elamur.ai/free/en/authors/cong-yu/) ×2 - [Lu Li](https://md.research.elamur.ai/free/en/authors/lu-li/) ×2 - [Yin Tian](https://md.research.elamur.ai/free/en/authors/yin-tian/) ×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/) - [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/) - [Hai Hu](https://md.research.elamur.ai/free/en/authors/hai-hu/) - [Hang Xue](https://md.research.elamur.ai/free/en/authors/hang-xue/) - [Kai Sun](https://md.research.elamur.ai/free/en/authors/kai-sun/) - [Kangkang Zhao](https://md.research.elamur.ai/free/en/authors/kangkang-zhao/) ## Cited by Papers of our library cite their works 289 times (of the 149,439 papers whose bibliographies we read); [70 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/cited-by/). Updated 2 November 2026