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Guanzheng Chen

Guanzheng Chen has 2 papers in our library, in 2023, most of them on Language models & pretraining, Vision & language; often with Xin Li, Chenhui Shen, Chunyan Miao.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 7 · 21 works · 308 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 318 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3711

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 Institute of TechnologyBeijing · China2025–2026 · 4 paperscurrent🎓Guangzhou Xinhua UniversityGuangzhou2025–2026 · 4 paperscurrent🏢Alibaba GroupGeorge Town · Cayman Islands2023–2025 · 5 papers🏢Alibaba GroupHangzhou · China2023–2025 · 5 papers🏢Alibaba DAMO AcademyHangzhou · China2023–2024 · 4 papers🎓Hezhou UniversityHunan · China2024 · 2 papers🎓Sun Yat-sen UniversityGuangzhou · China2022 · 2 papers

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

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20232 papersGuanzheng Chen's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding (2023 · 317 citations)
    Large vision-language models (LVLMs) often describe objects that are not in the image. The authors trace this object hallucination to two sources: statistical bias from co-occurrence patterns in pretraining data, and the language priors of the underlying LLM decoder. They show that making the image less clear…
  2. SeaLLMs — Large Language Models for Southeast Asia (2023 · 92 citations)
    Mainstream LLMs are trained mostly on English. As a result, they handle Southeast Asian languages poorly, especially those written in non-Latin scripts, which standard BPE tokenizers break into very long token sequences. SeaLLMs are open models for Southeast Asian languages, built by adapting English-centric…

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. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionSicong Leng, Hang Zhang, Guanzheng Chen, et al.2023 · 317 citations
  2. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476 · original ↗ · no summary yetZesen Cheng et al.2024 · 113 citations
  3. SeaLLMs — Large Language Models for Southeast AsiaarXiv:2312.00738Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.2023 · 92 citations

 Co-authors here

12 of 13 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 318 times (of the 141,840 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated

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