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Fan Xu

Fan Xu has 3 papers in our library, in 2026, most of them on Language models & pretraining; often with Xiaojun Wan, Huixuan Zhang, Jiahao Wang.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 21 · 57 works · 1,140 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #12737

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 Jiao Tong UniversityShanghai · China2014–2026 · 38 paperscurrent🏛️Ministry of Education of the People's Republic of ChinaBeijing · China2026 · 1 papercurrent🎓Peking UniversityBeijing · China2026 · 1 papercurrent🔬Renji HospitalShanghai · China2014–2024 · 14 papers🎓Zhejiang UniversityHangzhou · China2017–2020 · 4 papers🏥The People's Hospital of Guangxi Zhuang Autonomous RegionNanning · China2013–2025 · 3 papers🔬State Key Laboratory Fluid Power and Mechatronic SystemsHangzhou · China2017–2018 · 3 papers🎓Jinan UniversityGuangzhou · China2020–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy (2026 · 1 citation)
    Large language models often produce fluent text that is wrong or that drifts from the given instruction or input.
  2. DecoCal: Decoding with Calibration in Diffusion Large Language Models (2026)
    Diffusion large language models (DLLMs) such as LLaDA and Dream write text by repeatedly filling in masked tokens.
  3. JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation (2026)
    The paper targets factual hallucination detection in open-domain question answering. Retrieval-based checking pipelines usually split an answer into claims, write search queries, gather evidence and then verify each claim. The authors argue that the first two steps are weak: claims lose their context, and queries are…

 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.

Updated

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