--- title: "Xiaomi LLM-Core Team — author profile and papers in our library" description: "Xiaomi LLM-Core Team: 2 papers on Elamur Research (2025), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xiaomi-llm-core-team/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaomi-llm-core-team/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaomi LLM-Core Team # Xiaomi LLM-Core Team Xiaomi LLM-Core Team has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/), [Shuhuai Ren](https://md.research.elamur.ai/free/en/authors/shuhuai-ren/), [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5070004199) · [**h-index 1**](https://openalex.org/authors/A5070004199) · [1 works](https://openalex.org/works?filter=author.id:A5070004199) · [2 citations](https://openalex.org/works?filter=author.id:A5070004199&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaomi-llm-core-team/#papers) · [🔗 Cited 55 times in our library](https://md.research.elamur.ai/free/en/authors/xiaomi-llm-core-team/cited-by/) · [⭐ Paper Stars ranking: #7628](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7628) 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=Xiaomi+LLM-Core+Team) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaomi+LLM-Core+Team) · [dblp](https://dblp.org/search?q=Xiaomi+LLM-Core+Team) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaomi+LLM-Core+Team) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xiaomi-llm-core-team/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MiMo-VL Technical Report](https://md.research.elamur.ai/free/en/papers/team-2025-llm-mimo-vl-technical-report/)** *(2025 · 33 citations)* Xiaomi's LLM-Core team presents MiMo-VL-7B, a compact open vision-language model that handles general visual understanding, multimodal reasoning and GUI grounding in one 7B system. 2. **[MiMo-Audio: Audio Language Models are Few-Shot Learners](https://md.research.elamur.ai/free/en/papers/team-2025-llm-mimo-audio-audio-language/)** *(2025 · 24 citations)* Most current audio language models need separate fine-tuning for each speech task. This work asks whether the GPT-3 recipe, scaling next-token prediction pretraining, also gives audio models few-shot generalization. The Xiaomi team built MiMo-Audio around a tokenizer designed to keep paralinguistic detail. They used… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/) ×2 - [Shuhuai Ren](https://md.research.elamur.ai/free/en/authors/shuhuai-ren/) ×2 - [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/) - [Gang Wang](https://md.research.elamur.ai/free/en/authors/gang-wang/) - [Lei Li](https://md.research.elamur.ai/free/en/authors/lei-li/) - [Shuhao Gu](https://md.research.elamur.ai/free/en/authors/shuhao-gu/) - [Weiji Zhuang](https://md.research.elamur.ai/free/en/authors/weiji-zhuang/) - [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/) - [Yifan Song](https://md.research.elamur.ai/free/en/authors/yifan-song/) - [Zihao Yue](https://md.research.elamur.ai/free/en/authors/zihao-yue/) ## Cited by Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaomi-llm-core-team/cited-by/). Updated 1 November 2026