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Zengzhi Wang

Zengzhi Wang has 2 papers in our library, in 2024, most of them on Evaluation & benchmarks, Reasoning; often with Ruijie Xu, Run-Ze Fan, Ethan Chern.

2 papers in our library · 2024

OpenAlex · ORCID · Wikidata · h-index 8 · 40 works · 249 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 179 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7449

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Benchmarking Benchmark Leakage in Large Language Models (2024 · 73 citations)
    Large language models are often trained on undisclosed corpora that may include public benchmark data, sometimes on purpose.
  2. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI (2024 · 56 citations)
    Existing exam-style benchmarks for LLMs and LMMs mostly test knowledge recall or simple concept application, and they usually grade only final answers.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
  2. MathPile: A Billion-Token-Scale Pretraining Corpus for Math ↗arXiv:2312.17120 · no summary yetZengzhi Wang et al.2023 · 49 citations
  3. MegaMath: Pushing the Limits of Open Math Corpora ↗arXiv:2504.02807 · no summary yetFan Zhou et al.2025 · 19 citations

 Co-authors here

12 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 179 times (of the 149,439 papers whose bibliographies we read); 48 citing papers with a page here →.

Updated

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