--- title: "Wanrong Zhu · Adobe Systems — author profile and papers" description: "Wanrong Zhu, Adobe Systems: 3 papers on Elamur Research (2023–2024), h-index 12 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/wanrong-zhu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wanrong-zhu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wanrong Zhu # Wanrong Zhu Wanrong Zhu has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Jack Hessel](https://md.research.elamur.ai/free/en/authors/jack-hessel/), [Jenia Jitsev](https://md.research.elamur.ai/free/en/authors/jenia-jitsev/), [Michael Saxon](https://md.research.elamur.ai/free/en/authors/michael-saxon/). 3 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5023400154) · [ORCID](https://orcid.org/0009-0005-3448-0078) · [**h-index 12**](https://openalex.org/authors/A5023400154) · [54 works](https://openalex.org/works?filter=author.id:A5023400154) · [594 citations](https://openalex.org/works?filter=author.id:A5023400154&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/wanrong-zhu/#papers) · [🔗 Cited 267 times in our library](https://md.research.elamur.ai/free/en/authors/wanrong-zhu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4590](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4590) 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=Wanrong+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wanrong+Zhu) · [dblp](https://dblp.org/search?q=Wanrong+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Wanrong+Zhu) ## Affiliations [🏢**Adobe Systems** San Jose · United States 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**University of California, Irvine** Irvine · United States 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-irvine/) · [🎓**University of Chicago** Chicago · United States 2020–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chicago/) · [🎓**Irvine University** Cerritos · United States 2026 · 1 paper*current*](https://ror.org/04ysmca02) · [🎓**University of California, Santa Barbara** Santa Barbara · United States 2019–2024 · 15 papersEducation 2019–2024 · PhD, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) · [🎓**University of California, Santa Cruz** Santa Cruz · United States 2020–2023 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-cruz/) · [🎓**University of California San Diego** San Diego · United States 2020–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Topic modeling · 1 work](https://md.research.elamur.ai/free/en/concepts/topic-modeling/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/wanrong-zhu/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/wanrong-zhu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/)** *(2023 · 222 citations)* Strong autoregressive vision-language models like DeepMind's Flamingo accept mixed sequences of images and text, which allows in-context learning from a few demonstrations. 2. **[Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2023-large-language-models-latent-variable/)** *(2023 · 116 citations)* In-context learning in LLMs depends heavily on which few-shot demonstrations are chosen. Existing theories of why it works have mostly been tested on synthetic data and toy Transformers. This paper treats real-world LLMs as implicit latent variable models, similar to topic models. In this view, the prompt lets the… 3. **[MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding](https://md.research.elamur.ai/free/en/papers/li-2024-mmsci-dataset-graduate-level-multi/)** *(2024 · 20 citations)* Large Vision Language Models (LVLMs) are increasingly pitched as research assistants, but existing benchmarks mostly test simple charts or figures from a narrow set of fields. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models arXiv:2308.01390**Anas Awadalla, Irena Gao, Josh Gardner, et al.*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/) 2. **[Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2023-large-language-models-latent-variable/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xinyi Wang, Wanrong Zhu, Michael Saxon, et al.*2023 · 116 citations* 3. **[Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation ↗](https://aclanthology.org/2021.eacl-main.103/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Wanrong Zhu et al.*2021 · 40 citations* 4. [**MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding arXiv:2407.04903**Zekun Li, Xianjun Yang, Kyuri Choi, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-mmsci-dataset-graduate-level-multi/) ## Co-authors here 11 co-authors with a page, the most papers together first. - [Jack Hessel](https://md.research.elamur.ai/free/en/authors/jack-hessel/) - [Jenia Jitsev](https://md.research.elamur.ai/free/en/authors/jenia-jitsev/) - [Michael Saxon](https://md.research.elamur.ai/free/en/authors/michael-saxon/) - [Samir Yitzhak Gadre](https://md.research.elamur.ai/free/en/authors/samir-yitzhak-gadre/) - [Simon Kornblith](https://md.research.elamur.ai/free/en/authors/simon-kornblith/) - [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/) - [Xianjun Yang](https://md.research.elamur.ai/free/en/authors/xianjun-yang/) - [Xifeng Yan](https://md.research.elamur.ai/free/en/authors/xifeng-yan/) - [Xinyi Wang](https://md.research.elamur.ai/free/en/authors/xinyi-wang/) - [Yonatan Bitton](https://md.research.elamur.ai/free/en/authors/yonatan-bitton/) - [Zekun Li](https://md.research.elamur.ai/free/en/authors/zekun-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) - Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume ## Cited by Papers of our library cite their works 267 times (of the 149,439 papers whose bibliographies we read); [49 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wanrong-zhu/cited-by/). Updated 1 November 2026