--- title: "Yuhang Zang — author profile and papers" description: "Yuhang Zang, University of Science and Technology of China: 2 papers on Elamur Research (2024), h-index 18 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yuhang-zang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuhang-zang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuhang Zang # Yuhang Zang 2 papers on this site · 2024 current affiliation [University of Science and Technology of China](https://ror.org/04c4dkn09), Hefei, China; [Shanghai Artificial Intelligence Laboratory](https://ror.org/03wkvpx79), Shanghai, China Yuhang Zang has 2 papers on this site, in 2024, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Haodong Duan](https://md.research.elamur.ai/free/en/authors/haodong-duan/), [Pan Zhang](https://md.research.elamur.ai/free/en/authors/pan-zhang/), [Xiaoyi Dong](https://md.research.elamur.ai/free/en/authors/xiaoyi-dong/). [OpenAlex](https://openalex.org/A5005200501) · [ORCID](https://orcid.org/0000-0003-1110-5062) · [**h-index 18**](https://openalex.org/authors/A5005200501) · [102 works](https://openalex.org/works?filter=author.id:A5005200501) · [2 440 citations](https://openalex.org/works?filter=author.id:A5005200501&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/yuhang-zang/#papers) · [687 citations in our library](https://md.research.elamur.ai/free/en/authors/yuhang-zang/cited-by/) · 6 more works in our library The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yuhang+Zang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuhang+Zang) · [dblp](https://dblp.org/search?q=Yuhang+Zang) · [ACL Anthology](https://aclanthology.org/search/?q=Yuhang+Zang) ## Affiliations - [Shanghai Artificial Intelligence Laboratory](https://ror.org/03wkvpx79) · Shanghai, China —current · 2024–2026 on 50 papers - [University of Science and Technology of China](https://ror.org/04c4dkn09) · Hefei, China —current · 2026 on 1 paper - [Fudan University](https://ror.org/013q1eq08) · Shanghai, China —2024–2025 on 3 papers - [Nanyang Technological University](https://ror.org/02e7b5302) · Singapore, Singapore —2021–2024 on 8 papers - [University of Electronic Science and Technology of China](https://ror.org/04qr3zq92) · Chengdu, China —2019 on 2 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Topics [Vision & language 2](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Papers The most cited first (OpenAlex and our library). 1. **[Are We on the Right Way for Evaluating Large Vision-Language Models?](https://md.research.elamur.ai/free/en/papers/chen-2024-right-way-evaluating-large-vision/)** *(2024 · 263 citations)* Multi-modal benchmarks are supposed to measure how well large vision-language models (LVLMs) use images. The authors show that many existing test items can be solved without the picture. Some questions give away the answer in their wording, and others can be answered from general knowledge stored in the language… 2. **[InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model](https://md.research.elamur.ai/free/en/papers/dong-2024-internlm-xcomposer2-mastering-free/)** *(2024 · 92 citations)* InternLM-XComposer2 is a vision-language model that both understands images and writes long documents mixing text and pictures. Its predecessor could only build such articles from a title. The new model accepts much richer inputs: outlines, detailed written requirements and reference images. ## Also in our library 6 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Haodong Duan](https://md.research.elamur.ai/free/en/authors/haodong-duan/) ×2 - [Pan Zhang](https://md.research.elamur.ai/free/en/authors/pan-zhang/) ×2 - [Xiaoyi Dong](https://md.research.elamur.ai/free/en/authors/xiaoyi-dong/) ×2 - [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/) - [Feng Zhao](https://md.research.elamur.ai/free/en/authors/feng-zhao/) - [Jiaqi Wang](https://md.research.elamur.ai/free/en/authors/jiaqi-wang/) - [Jinsong Li](https://md.research.elamur.ai/free/en/authors/jinsong-li/) - [Lin Chen](https://md.research.elamur.ai/free/en/authors/lin-chen/) - [Maosong Cao](https://md.research.elamur.ai/free/en/authors/maosong-cao/) - [Songyang Zhang](https://md.research.elamur.ai/free/en/authors/songyang-zhang/) - [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) - [Zehui Chen](https://md.research.elamur.ai/free/en/authors/zehui-chen/) ## Cited by Papers of our library cite their works 687 times (of the 140 884 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuhang-zang/cited-by/).