--- title: "MiniCPM Team — author profile and papers — Elamur Research" description: "MiniCPM Team: 2 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/minicpm-team/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/minicpm-team/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / MiniCPM Team # MiniCPM Team MiniCPM Team has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Yuxuan Li](https://md.research.elamur.ai/free/en/authors/yuxuan-li/), [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/), [Chaojun Xiao](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5120755655) · [**h-index 1**](https://openalex.org/authors/A5120755655) · [2 works](https://openalex.org/works?filter=author.id:A5120755655) · [1 citations](https://openalex.org/works?filter=author.id:A5120755655&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/minicpm-team/#papers) · [🔗 Cited 23 times in our library](https://md.research.elamur.ai/free/en/authors/minicpm-team/cited-by/) · [⭐ Paper Stars ranking: #8823](https://md.research.elamur.ai/free/en/paper-stars/page/89/#star-8823) 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=MiniCPM+Team) · [Semantic Scholar](https://www.semanticscholar.org/search?q=MiniCPM+Team) · [dblp](https://dblp.org/search?q=MiniCPM+Team) · [ACL Anthology](https://aclanthology.org/search/?q=MiniCPM+Team) ## 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 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/minicpm-team/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/minicpm-team/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MiniCPM4: Ultra-Efficient LLMs on End Devices](https://md.research.elamur.ai/free/en/papers/minicpm-team-2025-minicpm4-ultra-efficient-llms/)** *(2025 · 22 citations)* Running capable LLMs locally on phones, embedded boards and consumer GPUs is limited by compute, memory and the cost of attention over long contexts. 2. **[MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling](https://md.research.elamur.ai/free/en/papers/minicpm-team-2026-minicpm-sala-hybridizing-sparse/)** *(2026 · 2 citations)* Full attention in Transformers is costly for very long inputs. Compute grows quadratically with length, and the KV-Cache can reach tens or hundreds of gigabytes at million-token scale. Sparse attention cuts computation but still keeps the whole cache. Linear attention is cheap but compresses context lossily and loses… ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Yuxuan Li](https://md.research.elamur.ai/free/en/authors/yuxuan-li/) ×2 - [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/) - [Chaojun Xiao](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/) - [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/) - [Jie Cai](https://md.research.elamur.ai/free/en/authors/jie-cai/) - [Ning Ding](https://md.research.elamur.ai/free/en/authors/ning-ding/) - [Wentong Chen](https://md.research.elamur.ai/free/en/authors/wentong-chen/) - [Xin Cong](https://md.research.elamur.ai/free/en/authors/xin-cong/) - [Xin Li](https://md.research.elamur.ai/free/en/authors/xin-li/) - [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/) - [Yewei Fang](https://md.research.elamur.ai/free/en/authors/yewei-fang/) - [Yingfa Chen](https://md.research.elamur.ai/free/en/authors/yingfa-chen/) ## Cited by Papers of our library cite their works 23 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/minicpm-team/cited-by/). Updated 31 October 2026