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Jiayi Zhou

Jiayi Zhou has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Bias, fairness & safety; often with Borong Zhang, Boyuan Chen, Donghai Hong.

2 papers in our library · 2023–2025

OpenAlex · h-index 9 · 34 works · 299 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 162 times in our library · ⭐ Paper Stars ranking: #5258

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

🎓Henan University of Science and TechnologyLuoyang · China2023–2026 · 3 paperscurrent🎓Tsinghua UniversityBeijing · China2025–2026 · 2 paperscurrent🎓Guangzhou UniversityGuangzhou · China2023–2025 · 4 papers🎓Peking UniversityBeijing · China2023–2025 · 3 papers🎓University of Hong KongPok Fu Lam · China2023–2024 · 3 papers🏥Affiliated Eye Hospital of Wenzhou Medical CollegeWenzhou · China2024 · 2 papers🎓Wenzhou Medical UniversityWenzhou · China2024 · 2 papers🎓Beijing Normal UniversityBeijing · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 worksComputer Science · 2 worksSafety Research · 2 worksSocial Sciences · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AI Alignment: A Comprehensive Survey (2023 · 173 citations)
    As AI systems grow more capable and enter high-stakes domains, systems whose goals drift away from what people actually want become more dangerous.
  2. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference (2025 · 83 citations)
    Safety alignment of large language models depends on preference data and fine-grained harm labels, which are expensive to collect at scale.

 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 162 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated

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