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Liangdong Wang

Liangdong Wang has 2 papers in our library, in 2024, most of them on Vision & language; often with Bo-Wen Zhang, Shuhao Gu, Yixuan Wang.

2 papers in our library · 2024

OpenAlex · h-index 6 · 22 works · 228 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #9551

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 Academy of Artificial IntelligenceBeijing · China2024–2026 · 6 paperscurrent🎓Zhejiang UniversityHangzhou · China2023–2026 · 4 paperscurrent🎓Shantou UniversityShantou · China2023 · 2 papers🎓Shantou University Medical CollegeShantou · China2023 · 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).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Vision & language · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data (2024 · 13 citations)
    Open vision-language models (VLMs) trained only on public instruction data still trail systems built on proprietary data.
  2. Aquila2 Technical Report (2024 · 1 citation)
    Most LLMs are pretrained on a fixed dataset over a long run, so it is hard to change the data mix or add new sources partway through. BAAI's Aquila2 is a family of Chinese–English bilingual models at 7B, 34B and an experimental 70B size. They were trained with HeuriMentor (HM), a framework with three parts:

 Co-authors here

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

 Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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