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Xiwen Zhang

Xiwen Zhang has 2 papers in our library, in 2024, most of them on Language models & pretraining, Reasoning; often with Fangming Liu, Junxian He, Mengwei Xu.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 15 · 91 works · 546 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 150 times in our library · ⭐ Paper Stars ranking: #6834

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

🎓Beijing Language and Culture UniversityBeijing · China2009–2025 · 24 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2025 · 2 paperscurrent🎓University of California San DiegoSan Diego · United States2024–2025 · 2 paperscurrent🎓Beijing Normal UniversityBeijing · China2025 · 1 papercurrent🎓Beijing University of Chinese MedicineBeijing · China2025 · 1 papercurrent🎓Dalian UniversityDalian · China2025 · 1 papercurrent🎓East China Normal UniversityShanghai · China2025 · 1 papercurrent🎓Air Force Engineering UniversityXi'an · China2011–2024 · 11 papers🏛️Chinese Academy of SciencesBeijing · China2005–2008 · 7 papers🔬Institute of SoftwareBeijing · China2005–2008 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 21 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 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workComputational Theory and Mathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Small Language Models: Survey, Measurements, and Insights (2024 · 88 citations)
    Compact language models already run in commercial devices, such as Gemini Nano on Google/Samsung phones and Apple's on-device foundation model.
  2. DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving (2024 · 81 citations)
    Instruction tuning on synthetic solutions is a common way to improve LLM math reasoning. Such data usually comes from rejection sampling: a strong model generates several answers per problem, and wrong ones are discarded. The authors show this skews datasets toward easy problems. In MetaMathQA's MATH-derived AnsAug…

 Co-authors here

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

 Cited by

Papers of our library cite their works 150 times (of the 149,439 papers whose bibliographies we read); 41 citing papers with a page here →.

Updated

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