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Xuanwei Zhang

Xuanwei Zhang has 5 papers in our library, in 2020–2023, most of them on Evaluation & benchmarks, Language models & pretraining, Named entity recognition; often with Liang Xu, Qianqian Dong, Cong Yu.

5 papers in our library · 2020–2023

OpenAlex · ORCID · h-index 2 · 7 works · 56 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 289 times in our library · ⭐ Paper Stars ranking: #3913

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢State Grid Corporation of ChinaBeijing · China2025 · 1 papercurrent🎓Hunan Normal UniversityChangsha · China2024 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 4 worksLanguage models & pretraining · 2 worksNamed entity recognition · 1 work

 Works by year

2020s

20231 paper20211 paper20203 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CLUE: A Chinese Language Understanding Evaluation Benchmark (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 (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 (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 (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 (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.

 Cited by

Papers of our library cite their works 289 times (of the 149,439 papers whose bibliographies we read); 68 citing papers with a page here →.

Updated

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