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Dong Yan

Dong Yan has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Bingning Wang, Borong Zhang, Ce Bian.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 15 · 61 works · 654 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 394 times in our library · ⭐ Paper Stars ranking: #3773

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

🎓Zhongyuan University of TechnologyZhengzhou · China2012–2026 · 27 paperscurrent🎓Shaoxing UniversityShaoxing · China2010–2014 · 6 papers🎓Beijing Jiaotong UniversityBeijing · China2016–2018 · 4 papers🏛️Chinese People's Liberation ArmyBeijing · China2011–2012 · 4 papers🎓University of Electronic Science and Technology of ChinaChengdu · China2024–2025 · 2 papers🎓University of Science and Technology of ChinaHefei · China2021–2025 · 2 papers🎓University of California, IrvineIrvine · United States2021–2022 · 2 papers🎓Xi'an Polytechnic UniversityXi'an · China2009–2021 · 2 papers🎓Linyi UniversityLinyi · China2013–2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 5The 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 work

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

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Baichuan 2: Open Large-scale Language Models (2023 · 517 citations)
    Most strong LLMs are either closed or weak outside English. This leaves languages such as Chinese underserved by open models. Baichuan 2 addresses this with two multilingual foundation models, Baichuan 2-7B and Baichuan 2-13B, trained from scratch on 2.6 trillion tokens. The data comes from web pages, books, papers…
  2. What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time (2026 · 2 citations)
    Test-Time Reinforcement Learning (TTRL) lets LLMs improve their reasoning on unlabeled test questions by using the majority-voted answer among sampled rollouts as a pseudo-reward.

 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.

 Cited by

Papers of our library cite their works 394 times (of the 149,439 papers whose bibliographies we read); 87 citing papers with a page here →.

Updated

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