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Jinghan Zhang

Jinghan Zhang has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Kunpeng Liu, Chuancheng Lv, Dongjie Wang.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 4 · 19 works · 143 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 345 times in our library · ⭐ Paper Stars ranking: #4071

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

🎓Portland State UniversityPortland · United States2024–2025 · 6 paperscurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2024–2025 · 2 paperscurrent🎓City University of Hong KongHong Kong · China2025 · 1 papercurrent

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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksMathematics · 1 work

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

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models (2023 · 428 citations)
    Most benchmarks for large language models are built in English and mirror the knowledge of English-speaking regions, so they say little about how well a model serves Chinese users.
  2. Diversity-oriented Data Augmentation with Large Language Models (2025 · 17 citations)
    Most text data augmentation methods add more training examples but do not check whether the new examples make the dataset more varied.
  3. Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer (2026 · 3 citations)
    Tree-like and multi-chain prompting methods such as ToT usually refine or extend reasoning paths the model has already produced.

 Co-authors here

12 of 13 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 345 times (of the 149,439 papers whose bibliographies we read); 117 citing papers with a page here →.

Updated

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