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Wei Du

Wei Du has 2 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks, Reasoning; often with Haodong Zou, Igor Gitman, Ivan Moshkov.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 14 · 84 works · 662 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 84 times in our library · ⭐ Paper Stars ranking: #8240

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

🎓Huazhong University of Science and TechnologyWuhan · China2009–2025 · 14 paperscurrent🏥Hangzhou Xixi hospitalHangzhou · China2024–2025 · 3 paperscurrent🔬Wuhan National Laboratory for OptoelectronicsWuhan · China2024–2025 · 2 paperscurrent🔬China Academy of Railway SciencesBeijing · China2025 · 1 papercurrent🏥Hospital of the University of PennsylvaniaPhiladelphia · United States2025 · 1 papercurrent🎓Jilin UniversityChangchun · China2025 · 1 papercurrent🎓Liaoning University of TechnologyJinzhou · China2025 · 1 papercurrent🎓Nantong UniversityNantong · China2025 · 1 papercurrent🎓Qilu University of TechnologyJinan · China2025 · 1 papercurrent🎓Shandong UniversityJinan · China2025 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 33 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 workComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data (2024 · 85 citations)
    The best math-reasoning LLMs increasingly rely on synthetic training data that is either kept private or released under restrictive terms, often because GPT models were used to generate it. This hurts reproducibility and trust in benchmark results, and it makes it hard to study how data design choices matter.
  2. CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables (2026)
    Most TableQA benchmarks use tidy, well-formed tables, so they overstate how well LLMs handle the messy tables found in practice.

 Co-authors here

10 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 84 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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