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Qinlin Zhao

Qinlin Zhao has 2 papers in our library, in 2024, most of them on Evaluation & benchmarks, Interpretability; often with Jindong Wang, Kaijie Zhu, Hao Chen.

2 papers in our library · 2024

OpenAlex · h-index 4 · 9 works · 59 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 102 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7639

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

🏢Microsoft Research AsiaBeijing · China2023–2026 · 3 paperscurrent🎓University of Science and Technology of ChinaHefei · China2023–2024 · 4 papers

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

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksDecision Sciences · 1 workHistory and Philosophy of Science · 1 workStatistics, Probability and Uncertainty · 1 workArtificial Intelligence · 1 workComputer Science · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AgentReview: Exploring Peer Review Dynamics with LLM Agents (2024 · 86 citations)
    Studying peer review empirically is hard. Outcomes depend on many interacting factors, some important ones such as reviewer bias or motivation are hidden, and real review records are confidential. AgentReview addresses these problems by simulating conference reviewing entirely with LLM agents playing reviewers…
  2. Dynamic Evaluation of Large Language Models by Meta Probing Agents (2024 · 30 citations)
    Static public benchmarks can leak into LLM training data, so reported scores may overstate what models can actually do.

All works

3 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. AgentReview: Exploring Peer Review Dynamics with LLM AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiqiao Jin, Qinlin Zhao, Yiyang Wang, et al.2024 · 86 citations
  2. Dynamic Evaluation of Large Language Models by Meta Probing AgentsarXiv:2402.14865Kaijie Zhu, Jindong Wang, Qinlin Zhao, et al.2024 · 30 citations
  3. CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents ↗arXiv:2310.17512 · no summary yetQinlin Zhao et al.2023 · 27 citations

 Co-authors here

8 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 102 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

Updated

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