--- title: "Lili Yu — author profile and papers — Elamur Research" description: "Lili Yu, China University of Geosciences: 2 papers on Elamur Research (2023–2024), h-index 10 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/lili-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lili-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lili Yu # Lili Yu Lili Yu has 2 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 [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/), [Omer Levy](https://md.research.elamur.ai/free/en/authors/omer-levy/), [Alexis Conneau](https://md.research.elamur.ai/free/en/authors/alexis-conneau/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5100609008) · [ORCID](https://orcid.org/0000-0003-1727-3753) · [**h-index 10**](https://openalex.org/authors/A5100609008) · [50 works](https://openalex.org/works?filter=author.id:A5100609008) · [495 citations](https://openalex.org/works?filter=author.id:A5100609008&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lili-yu/#papers) · [🔗 Cited 202 times in our library](https://md.research.elamur.ai/free/en/authors/lili-yu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7453](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7453) 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=Lili+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lili+Yu) · [dblp](https://dblp.org/search?q=Lili+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Lili+Yu) ## Affiliations [🎓**China University of Geosciences** Wuhan · China 2024–2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/china-university-of-geosciences/) · [🎓**University of Chicago** Chicago · United States 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chicago/) · [🏥**ShenZhen People’s Hospital** Shenzhen · China 2020–2024 · 5 papers](https://ror.org/01hcefx46) · [🎓**Shijiazhuang Information Engineering Vocational College** Shijiazhuang · China 2013–2016 · 5 papers](https://ror.org/04w3zab70) · [🔬**Lawrence Berkeley National Laboratory** Berkeley · United States 2022–2023 · 3 papers](https://md.research.elamur.ai/free/en/labs/lawrence-berkeley-national-laboratory/) · [🎓**Jiamusi University** Jiamusi · China 2011–2020 · 3 papers](https://ror.org/01vasff55) · [🎓**University of Washington** Seattle · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2010–2021 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Fujian Normal University** Fuzhou · China 2010–2011 · 2 papers](https://ror.org/020azk594) · [🎓**Nanjing Normal University** Nanjing · China 2009 · 2 papers](https://md.research.elamur.ai/free/en/universities/nanjing-normal-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/lili-yu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/lili-yu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model](https://md.research.elamur.ai/free/en/papers/zhou-2024-transfusion-predict-next-token-diffuse/)** *(2024 · 83 citations)* Generative models usually handle text with next-token prediction and images with diffusion. Combining the two typically means either attaching a separate diffusion model to a language model or quantizing images into discrete tokens, which loses information. Transfusion trains a single transformer on mixed text–image… 2. **[Scaling Laws for Generative Mixed-Modal Language Models](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/)** *(2023 · 45 citations)* Single generative models can treat images, speech, code and text as token streams. It is unclear, however, whether added scale overcomes the interference that arises when several modalities share one network. The authors ran more than 250 training experiments covering seven modalities: Text, Image, Image-Text… ## All works 4 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. [**Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model arXiv:2408.11039**Chunting Zhou, Lili Yu, Arun Babu, et al.*2024 · 83 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-transfusion-predict-next-token-diffuse/) 2. **[Byte Latent Transformer: Patches Scale Better Than Tokens ↗](https://aclanthology.org/2025.acl-long.453/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Artidoro Pagnoni et al.*2025 · 73 citations* 3. **[Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning ↗](https://arxiv.org/abs/2309.02591) arXiv (Cornell University) · no summary yet**Lili Yu et al.*2023 · 58 citations* 4. [**Scaling Laws for Generative Mixed-Modal Language Models arXiv:2301.03728**Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/) ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) ×2 - [Omer Levy](https://md.research.elamur.ai/free/en/authors/omer-levy/) ×2 - [Alexis Conneau](https://md.research.elamur.ai/free/en/authors/alexis-conneau/) - [Armen Aghajanyan](https://md.research.elamur.ai/free/en/authors/armen-aghajanyan/) - [Arun Babu](https://md.research.elamur.ai/free/en/authors/arun-babu/) - [Chunting Zhou](https://md.research.elamur.ai/free/en/authors/chunting-zhou/) - [Jacob Kahn](https://md.research.elamur.ai/free/en/authors/jacob-kahn/) - [Karen Hambardzumyan](https://md.research.elamur.ai/free/en/authors/karen-hambardzumyan/) - [Kushal Tirumala](https://md.research.elamur.ai/free/en/authors/kushal-tirumala/) - [Michihiro Yasunaga](https://md.research.elamur.ai/free/en/authors/michihiro-yasunaga/) - [Naman Goyal](https://md.research.elamur.ai/free/en/authors/naman-goyal/) - [Stephen Roller](https://md.research.elamur.ai/free/en/authors/stephen-roller/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 202 times (of the 149,439 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lili-yu/cited-by/). Updated 2 November 2026