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Zhiyuan Chen

Zhiyuan Chen has 2 papers in our library, in 2023; often with Hao Yang, Jiakai Tang, Jingsen Zhang.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 10 · 60 works · 2,331 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 523 times in our library · ⭐ Paper Stars ranking: #1419

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

🎓Renmin University of ChinaBeijing · China2012–2026 · 19 paperscurrent🎓Xinjiang UniversityÜrümqi · China2025–2026 · 3 paperscurrent🎓China Pharmaceutical UniversityNanjing · China2013–2026 · 2 paperscurrent🎓Jiaxing UniversityJiaxing · China2026 · 1 papercurrent🔬State Key Laboratory of Natural MedicineNanjing2026 · 1 papercurrent🎓Wuhan UniversityWuhan · China2014–2022 · 4 papers🎓Pennsylvania State UniversityState College · United States2015–2018 · 3 papers🎓Shenzhen UniversityShenzhen · China2024–2025 · 2 papers🎓Zhejiang UniversityHangzhou · China2023–2024 · 2 papers🎓Fudan UniversityShanghai · China2020–2022 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workInformation Systems · 1 work

💡 Concepts 2Key ideas and methods explained on our concept pages.Language model · 1 workLarge language models · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on Large Language Model based Autonomous Agents (2023 · 2,284 citations)
    The survey maps the fast-growing research on autonomous agents that use a large language model as their central controller.
  2. User Behavior Simulation with Large Language Model based Agents (2023 · 64 citations)
    Building synthetic user data for recommender systems and social platforms is hard. Earlier simulators reduce human choice to simple scoring functions, need real logs to train, and usually cover only one environment. This work tests whether large language models can act as believable users with little or no real data.…

 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 523 times (of the 149,439 papers whose bibliographies we read); 144 citing papers with a page here →.

Updated

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