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Sicong Leng

Sicong Leng has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Speech & spoken language, Vision & language; often with Guanzheng Chen, Hang Zhang, Lidong Bing.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 7 · 31 works · 428 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 243 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4580

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

🎓Nanyang Technological UniversitySingapore · Singapore2023–2027 · 14 papersEducation 2023–2027 · Doctor of Philosophy, School of Computer Science and Engineeringcurrent🏢Alibaba GroupHangzhou · China2024–2026 · 6 paperscurrent🏢Alibaba GroupGeorge Town · Cayman Islands2024–2026 · 5 paperscurrent🏢Alibaba DAMO AcademyHangzhou · China2024 · 3 papers🎓Singapore University of Technology and DesignSingapore · Singapore2021–2024 · 3 papers
🏛️Singapore University of Technology and Design SUTD AcademySingapore · SingaporeEducationEmployment

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

 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 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding (2023 · 322 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. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs (2024 · 118 citations)
    Video-LLMs lag behind image-focused multimodal models because they fuse information across frames poorly and usually ignore the soundtrack. VideoLLaMA 2, from DAMO Academy (Alibaba Group), tackles both weaknesses while keeping the modular two-branch layout of the original VideoLLaMA.

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 · 322 citations
  2. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
  3. Vesta: A Generalist Embodied Reasoning Model ↗arXiv (Cornell University) · no summary yetJohan Björck et al.2026

 Co-authors here

10 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 243 times (of the 149,439 papers whose bibliographies we read); 60 citing papers with a page here →.

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