Elamur Research⌕
☰
home / authors / Nan Zhang

Nan Zhang

Nan Zhang has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Jiawei Han, Renze Lou, Rui Zhang.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 19 · 48 works · 1,609 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 123 times in our library · ⭐ Paper Stars ranking: #4526

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

🏥Renmin Hospital of Wuhan UniversityWuhan · China2017–2026 · 9 paperscurrent🎓Wuhan UniversityWuhan · China2006–2025 · 33 papers🎓Soochow UniversitySuzhou · China2018–2020 · 6 papers🏥Zhongnan Hospital of Wuhan UniversityWuhan · China2024–2025 · 3 papers🎓Liaoning UniversityShenyang · China2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksGeneral Social Sciences · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20242 papersNan Zhang's papers of 2024

 Papers

The most cited first (OpenAlex and our library).

  1. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs (2024 · 159 citations)
    Studies disagree on whether large language models can fix their own errors at inference time. Some report gains from self-correction, while others find that models fail to detect or repair their mistakes. Kamoi et al. review a wide range of self-correction work, covering intrinsic prompting, external tools or…
  2. LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing (2024 · 71 citations)
    This EMNLP 2024 paper asks whether large language models can take on part of the growing peer-review burden in NLP, both as reviewers and as meta-reviewers who audit individual reviews.

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 123 times (of the 141,840 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/nan-zhang/