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Yun Xiong

Yun Xiong has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Haofen Wang, Huajun Chen, Jingping Liu.

2 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 30 · 194 works · 3,456 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 924 times in our library · ⭐ Paper Stars ranking: #1702

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

🎓Fudan UniversityShanghai · China2007–2026 · 162 paperscurrent🎓Shanghai UniversityShanghai · China2019–2020 · 7 papers🔬Peng Cheng LaboratoryShenzhen · China2022–2023 · 4 papers🏢BGI GroupShenzhen · China2021–2024 · 3 papers🔬Shanghai Center For Bioinformation TechnologyShanghai · China2008 · 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

💡 Concepts 2Key ideas and methods explained on our concept pages.Large language models · 1 workRetrieval-augmented generation · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Retrieval-Augmented Generation for Large Language Models: A Survey (2023 · 1,663 citations)
    Large language models write fluently, but they invent facts, lag behind recent events, and give no trace of where an answer came from.
  2. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models (2025 · 41 citations)
    This survey, written by researchers at several Chinese universities and Swinburne University, explains why DeepSeek's V3 and R1 models drew so much attention and what they suggest about the direction of large AI models.

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 924 times (of the 149,439 papers whose bibliographies we read); 162 citing papers with a page here →.

Updated

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