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Xun Zhao

Xun Zhao has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Dahua Lin, Linda Petzold, Qi Zhang.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 17 · 33 works · 1,117 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 94 times in our library · ⭐ Paper Stars ranking: #7878

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

🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2023–2026 · 7 paperscurrent🏢TencentShenzhen · China2021–2022 · 5 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2017–2019 · 4 papers🏥University Health NetworkToronto · Canada2024 · 2 papers🎓University of California, Santa BarbaraSanta Barbara · United States2024 · 2 papers🏛️Chinese Academy of SciencesBeijing · China2023 · 2 papers🎓University of Chinese Academy of SciencesBeijing · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workComputer Vision and Pattern Recognition · 1 workMolecular Biology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models (2023 · 103 citations)
    Open-weight chat models such as LLaMa-2-Chat undergo extensive safety alignment, but the authors ask whether this protection survives once anyone can fine-tune the weights.
  2. Datasets for Scientific Literature Understanding: A Survey (2026)
    Scholarly publishing is growing faster than researchers can follow, so machine comprehension of papers is a key enabler of AI for Science (AI4S). This survey, by authors at the National Science Library of the Chinese Academy of Sciences, catalogues the datasets behind that goal and arranges them into four branches:

 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 94 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

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