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Xiang Long

Xiang Long has 2 papers in our library, in 2021–2024, most of them on Language models & pretraining, English; often with Chaoqun He, Ganqu Cui, Shengding Hu.

2 papers in our library · 2021–2024

OpenAlex · ORCID · h-index 7 · 61 works · 214 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 244 citations in our library · ⭐ Paper Star rank #4175

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

🎓Huazhong University of Science and TechnologyWuhan · China2026 · 1 papercurrent🏥Shanghai Children's Medical CenterShanghai · China2026 · 1 papercurrent🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 1 papercurrent🏥Guizhou Provincial People's HospitalGuiyang · China2021–2025 · 3 papers🎓Soochow UniversitySuzhou · China2023 · 2 papers🎓Hainan UniversityHaikou · China2013–2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 8 Artificial Intelligence · 2 works Language and Linguistics · 2 works Arts and Humanities · 2 works Computer Science · 2 works Mathematics · 1 work Social Sciences · 1 work Information Systems · 1 work Sociology and Political Science · 1 work

🧭 Topics 2 Language models & pretraining · 1 work English · 1 work

 Works by year

2020s

20241 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (2024 · 258 citations)
    Training very large language models is expensive, which makes experiments hard to afford, and the resulting models are difficult to run on phones or laptops.
  2. Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English (2021 · 44 citations)
    The paper describes the third-place system in the Constraint@AAAI 2021 shared task. The task was binary classification of English social-media posts about COVID-19 (from Twitter, Facebook, Instagram and similar sources) as fake or real. The authors trained on the official dataset plus extra data they gathered online.…

 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 244 times (of the 141,840 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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