most citedMiMo-Audio: Audio Language Models are Few-Shot Learners

2 citations · 4 across the 13 of their papers we have counts for

collaborators

17 papers

cs.SD2026

MiDashengLM-Spatial: Unifying General Audio Understanding and Spatial Awareness

Jinbo Hu, Hang Su, Lichun Fan +10

Large audio-language models (LALMs) have achieved strong performance in general audio understanding, yet most are designed for monaural input and discard the inter-channel cues ess…

cs.LG2026

Learning Reliable GUI Agents under Imperfect Priors

Bo Han, Qianyi Wang, Shuai Liu +9

GUI agents built on large language and vision-language models still struggle on unseen applications and complex multi-step tasks, as completing real GUI tasks depends on app-specif…

cs.CV2026

Xiaomi-OCR-0 Technical Report

Xin Chen, Anan Du, Feng Feng +7

Compact OCR-specific vision-language models achieve strong document parsing performance, but often rely on costly supervision and focus primarily on visual-text reconstruction. We…

cs.RO2026

HarnessPAI: An Evolving Harness for Physical AI

Xin Wang, Wenhao Wu, Menghao Zhang +20

Physical AI aims to build embodied agents that perceive the world, understand and reason about it, and decide how to act. Yet the field has focused primarily on the last component:…

cs.CL2026

UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents

Niu Lian, Tongbo Chen, Zhehao Yu +8

Recent advances in multimodal foundation models and agent systems have driven GUI agents from single-platform task execution toward cross-platform interaction. However, unified mul…

cs.AI2026

HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry

Tingyang Chen, Shuo Lu, Kang Zhao +11

AI agent performance depends critically on the runtime harness, comprising the prompts, tools, memory, and control flow that mediate how a model observes, reasons, and acts. Yet to…

cs.RO2026

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories

Xiaomi Robotics Team, Jun Guo, Piaopiao Jin +31

We present Xiaomi-Robotics-1, a foundational vision-language-action (VLA) model capable of (1) following diverse language instructions to perform a wide range of mobile manipulatio…

cs.AI2026

Mi-Memory: A Lifecycle Memory Framework for Personal AI

Xule Liu, Hanlin Teng, Chao Li +15

Personal AI is moving beyond chat-only interaction toward continuous services that span phones, cars, homes, wearables, cameras, and tools. In this setting, memory cannot remain a…

cs.RO2026

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model

Xinghang Li, Jun Guo, Qiwei Li +21

Recent foundation image and video generation models offer strong generalization and controllability, but their direct application to embodied scenarios is limited by requirements f…

cs.AI2026

Xiaomi-GUI-0 Technical Report

Wanxia Cao, Chengzhen Duan, Pei Fu +29

Graphical user interface (GUI) agents build on vision-language models to complete user tasks end-to-end in real applications through interface actions such as tapping, swiping, tex…

cs.AI2026

Scaling, Benchmarking, and Reasoning of Vision-Language Agents for Mobile GUI Navigation

Heng Qu, Yike Liu, Renren Jin +4

Vision-Language Models (VLMs) have shown rapid progress in mobile GUI navigation. This paper presents a systematic study of data scaling, benchmarking, and reasoning for VLM-based…

cs.AI2026

How Mobile World Model Guides GUI Agents?

Weikai Xu, Kun Huang, Yunren Feng +10

Recent advances in vision-language models have enabled mobile GUI agents to perceive visual interfaces and execute user instructions, but reliable prediction of action consequences…

cs.CL2026★ 1 cited

MiMo-V2-Flash Technical Report

Core Team, Bangjun Xiao, Bingquan Xia +123

We present MiMo-V2-Flash, a Mixture-of-Experts (MoE) model with 309B total parameters and 15B active parameters, designed for fast, strong reasoning and agentic capabilities. MiMo-…

cs.CL2025★ 2 cited

MiMo-Audio: Audio Language Models are Few-Shot Learners

Core Team, Dong Zhang, Gang Wang +97

Existing audio language models typically rely on task-specific fine-tuning to accomplish particular audio tasks. In contrast, humans are able to generalize to new audio tasks with…

cs.RO2025

MiMo-Embodied: X-Embodied Foundation Model Technical Report

Xiaoshuai Hao, Lei Zhou, Zhijian Huang +41

We open-source MiMo-Embodied, the first cross-embodied foundation model to successfully integrate and achieve state-of-the-art performance in both Autonomous Driving and Embodied A…

cs.CL2025★ 1 cited

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

LLM-Core Xiaomi, :, Bingquan Xia +62

We present MiMo-7B, a large language model born for reasoning tasks, with optimization across both pre-training and post-training stages. During pre-training, we enhance the data p…

cs.CL2025

MiMo-VL Technical Report

Core Team, Zihao Yue, Zhenru Lin +71

We open-source MiMo-VL-7B-SFT and MiMo-VL-7B-RL, two powerful vision-language models delivering state-of-the-art performance in both general visual understanding and multimodal rea…