collaborators

17 papers

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

ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis

Guohong Liu, Jialei Ye, Pengzhi Gao +4

GUI agents powered by large language models are advancing rapidly, creating urgent needs for evaluation and training based on realistic environments. However, directly doing so in…

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.CV2026

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture

Haiwen Diao, Penghao Wu, Hanming Deng +55

Recent large vision-language models (VLMs) remain fundamentally constrained by a persistent dichotomy: understanding and generation are treated as distinct problems, leading to fra…

cs.CL2026

Revisiting Entropy in Reinforcement Learning for Large Reasoning Models

Renren Jin, Pengzhi Gao, Yuqi Ren +6

Reinforcement learning with verifiable rewards (RLVR) has emerged as a prominent paradigm for enhancing the reasoning capabilities of large language models (LLMs). However, the ent…