MiMo-V2-Flash Technical Report (2026 · 60 citations)
MiMo-V2-Flash, from Xiaomi's LLM-Core Team, addresses a core problem for reasoning and agentic LLMs: long contexts must be handled both cheaply and well.
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.
POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering (2026 · 2 citations)
Benchmarks for chart understanding are almost entirely in English, so little is known about how large vision-language models (LVLMs) handle charts in other languages.
Exploring Attention Attractors in Large Language Models (2026)
This paper studies "attention attractors," tokens in large language models that receive an unusually large share of attention. Earlier work has explained these tokens in conflicting ways: as summary tokens, as attention sinks, or as key tokens for KV cache compression. The authors examine them from three angles.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

Co-authors here

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

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 150 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated 1 November 2026