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Biao Yang

Biao Yang has 2 papers in our library, in 2023, most of them on Vision & language; often with Xiang Bai, Yuliang Liu, Zhang Li.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 25 · 147 works · 2,132 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 228 times in our library · ⭐ Paper Stars ranking: #4130

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

🎓Changzhou UniversityChangzhou · China2017–2026 · 71 paperscurrent🎓Huazhong University of Science and TechnologyWuhan · China2024–2026 · 5 paperscurrent🎓Hohai UniversityNanjing · China2007–2024 · 32 papers🎓Central South UniversityChangsha · China2005–2024 · 7 papers🎓Kunming University of Science and TechnologyKunming · China2012–2023 · 5 papers🎓Peking UniversityBeijing · China2020–2021 · 3 papers🎓Beihang UniversityBeijing · China2018–2020 · 3 papers🎓North China University of TechnologyBeijing · China2013–2025 · 2 papers🎓Jilin UniversityChangchun · China2022–2023 · 2 papers🔬State Key Laboratory of Automotive Simulation and ControlChangchun2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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 2The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 1Research subjects and languages the work is about.Vision & language · 2 works

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models (2023 · 306 citations)
    Large multimodal models (LMMs) can often read text in images without OCR-specific training, but how well they do this had not been measured systematically.
  2. Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models (2023 · 222 citations)
    Large multimodal models (LMMs) usually see images at low resolution, such as 448×448, and are pretrained on short, shallow captions from corpora like LAION, COYO and CC3M.

 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 228 times (of the 149,439 papers whose bibliographies we read); 74 citing papers with a page here →.

Updated

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