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Weiran Huang

Weiran Huang has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Chen Wang, Chenyang Shao, Di Zhang.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 17 · 66 works · 1,290 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 45 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8836

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 · China2021–2026 · 26 paperscurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2023–2026 · 5 paperscurrent🎓Shanghai Innovation InstituteShanghai · China2025–2026 · 4 paperscurrent🎓Peking UniversityBeijing · China2020–2023 · 9 papers🏢Huawei TechnologiesShenzhen · China2018–2020 · 8 papers🎓Tsinghua UniversityBeijing · China2017–2019 · 5 papers🎓Chinese University of Hong KongHong Kong · China2020–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksMaterials Science · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workMaterials Chemistry · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ChemLLM: A Chemical Large Language Model (2024 · 82 citations)
    General-purpose LLMs are increasingly used for chemistry, but none had been built specifically for the field.
  2. Targeted Exploration via Unified Entropy Control for Reinforcement Learning (2026)
    RL fine-tuning with GRPO, a critic-free method that normalizes rewards within rollout groups, tends to suffer from entropy collapse.

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. Few-Shot Learning With Global Class Representations ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetAoxue Li et al.2019 · 103 citations
  2. ChemLLM: A Chemical Large Language ModelarXiv:2402.06852Di Zhang, Wei Liu, Qian Tan, et al.2024 · 82 citations
  3. Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026

 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 45 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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