🧑‍🔬 Zichao Wang

🏛️ Affiliations

🎓Henan University of TechnologyZhengzhou · China2018–2026 · 80 papersEmploymentcurrent🎓Central South UniversityChangsha · China2024–2026 · 9 paperscurrent🎓Dalian Maritime UniversityDalian · China2024–2026 · 7 paperscurrent🎓Chinese Academy of Medical Sciences & Peking Union Medical CollegeBeijing · China2024–2026 · 6 paperscurrent🔬Institute of Basic Medical Sciences of the Chinese Academy of Medical SciencesBeijing2024–2026 · 6 paperscurrent🎓Jilin UniversityChangchun · China2022–2026 · 6 paperscurrent🎓Shanxi Agricultural UniversityXiaodian · China2026 · 2 paperscurrent🎓Wuhan University of TechnologyWuhan · China2025–2026 · 2 paperscurrent🏥Second Affiliated Hospital of Jilin UniversityChangchun · China2026 · 1 papercurrent🎓Northwestern Polytechnical UniversityXi'an · China2019–2025 · 13 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 41 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions (2023 · 14 citations)
   Standard math benchmarks for LLMs only check whether a model reaches the right answer. This paper asks whether models understand mathematical concepts well enough to reason about wrong answers. It uses multiple-choice grade-school questions from the Eedi platform, where each distractor is tied to a known student…
2. AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasks (2026)
   Benchmarks for LLM-based report writing usually test isolated subskills, such as summarization or table aggregation. Benchmarks with realistic professional tasks, like GDPval, depend on costly expert-built tasks. AnalystBench aims to evaluate the whole analyst workflow at low cost.

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. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models ↗arXiv:2310.15140 · no summary yetSicheng Zhu et al.2023 · 90 citations
2. Personalization of Large Language Models: A Survey ↗arXiv (Cornell University) · no summary yetZhehao Zhang et al.2024 · 61 citations
3. Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with MisconceptionsarXiv:2310.02439Naiming Liu, Shashank Sonkar, Zichao Wang, et al.2023 · 14 citations
4. AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasksFindings of the Association for Computational LinguisticsChau Minh Pham, Zichao Wang, Puneet Mathur, et al.2026

🤝 Co-authors here

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

• Akriti Jain
• Aparna Garimella
• Chau Minh Pham
• Mohit Iyyer
• Nedim Lipka
• Puneet Mathur
• Varun Manjunatha

Venues

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

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 143 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated 1 November 2026

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