MiniCPM Team

MiniCPM Team has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Yuxuan Li, Biyuan Lin, Chaojun Xiao.

2 papers in our library · 2025–2026

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

MiniCPM4: Ultra-Efficient LLMs on End Devices (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.
MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling (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…

12 of 14 co-authors with a page, the most papers together first.

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 →.

Updated 31 October 2026