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Pengyun Zhu

Pengyun Zhu has 2 papers in our library, in 2026, most of them on Summarization, Legal AI, English; often with Deyi Xiong, Kui Ren, Lei Yang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 10 works · 22 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13837

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

🎓Tianjin UniversityTianjin · China2026 · 7 paperscurrent🎓Zhejiang UniversityHangzhou · China2026 · 3 paperscurrent🎓Tianjin University of Science and TechnologyTianjin · China2026 · 1 papercurrent🎓Tianjin University of TechnologyTianjin · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 2 worksPsychology · 1 workSafety Research · 1 workSocial Psychology · 1 workSociology and Political Science · 1 work

🧭 Topics 3Research subjects and languages the work is about.English · 1 workLegal AI · 1 workSummarization · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation (2026)
    App privacy policies are long and full of legal and technical jargon, so users often accept terms they do not understand.
  2. DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping (2026)
    Most pluralistic value alignment for LLMs conditions models on a country label. This ignores how much values differ inside a single nation. DVMap addresses this by conditioning on a combination of demographic attributes instead.

 Co-authors here

7 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.

Updated

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