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Zhuoyun Du

Zhuoyun Du has 2 papers in our library, in 2024–2025; often with Chen Qian, Cheng Hong Yang, Hanchen Xia.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 15 · 42 works · 1,369 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 76 times in our library · ⭐ Paper Stars ranking: #8132

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

🎓Southeast UniversityNanjing · China2017–2025 · 8 paperscurrent🎓Tianjin UniversityTianjin · China2025 · 5 paperscurrent🎓Changchun UniversityChangchun · China2025 · 2 paperscurrent🎓Zhejiang UniversityHangzhou · China2024–2025 · 2 paperscurrent🎓Beijing University of Posts and TelecommunicationsBeijing · China2025 · 1 papercurrent🎓Fudan UniversityShanghai · China2025 · 1 papercurrent🎓Harbin Medical UniversityHarbin · China2025 · 1 papercurrent🏥Huashan HospitalShanghai · China2025 · 1 papercurrent🎓Liaoning UniversityShenyang · China2025 · 1 papercurrent🏛️Ministry of Ecology and EnvironmentBeijing · China2025 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksHealth Informatics · 1 workMedicine · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Scaling Large Language Model-based Multi-Agent Collaboration (2024 · 70 citations)
    Most LLM-based multi-agent systems use fewer than ten agents, so it has been unclear whether adding far more collaborators keeps improving results, as adding neurons does under neural scaling laws.
  2. LLMs Can Simulate Standardized Patients via Agent Coevolution (2025 · 20 citations)
    Medical training relies on standardized patients (SPs), actors who portray real cases. They are costly to prepare, and the role can strain their well-being. LLM-based SPs exist, but earlier work mostly improved retrieval or relied on expert feedback. The harder problem is teaching a knowledgeable model to answer like…

 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 76 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

Updated

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