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Weiyang Liu

Weiyang Liu has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning; often with Longhui Yu, Adrian Weller, Chuang Gan.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 19 · 69 works · 4,336 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 666 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3852

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

🎓Chinese University of Hong KongHong Kong · China2025–2026 · 2 papersEmploymentcurrent🎓Northeast Normal UniversityChangchun · China2024–2026 · 2 paperscurrent🎓Peking UniversityBeijing · China2014–2016 · 18 papers🎓University of CambridgeCambridge · United Kingdom2021–2024 · 17 papers🔬Max Planck Institute for Intelligent SystemsStuttgart · Germany2021–2025 · 14 papers🎓Georgia Institute of TechnologyAtlanta · United States2017–2021 · 11 papers🔬Max Planck SocietyMunich · Germany2024–2025 · 2 papers🏥Second Affiliated Hospital of Harbin Medical UniversityHarbin · China2023–2025 · 2 papers🏢Intelligent Systems ResearchThousand Oaks · United States2021 · 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 workMathematics · 1 work

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

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models (2023 · 565 citations)
    Open-source LLMs such as LLaMA-2 lag well behind closed models on multi-step maths word problems. Fine-tuning helps, but it depends on having enough varied training questions. MetaMath addresses this by growing the GSM8K and MATH training sets from the question side as well as the answer side, producing a dataset…
  2. Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision (2024 · 51 citations)
    Current alignment methods learn from human demonstrations or human judgments, so a model's skill may be capped at what people can supervise.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. SphereFace: Deep Hypersphere Embedding for Face Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetWeiyang Liu et al.2017 · 3,073 citations
  2. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
  3. Easy-to-Hard Generalization: Scalable Alignment Beyond Human SupervisionConference on Neural Information Processing Systems (NeurIPS)Zhiqing Sun, Longhui Yu, Yikang Shen, et al.2024 · 51 citations

 Co-authors here

12 of 14 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 666 times (of the 149,439 papers whose bibliographies we read); 248 citing papers with a page here →.

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