Cover Image

VenusBench-Mobile: A Challenging and User-Centric Benchmark for Mobile GUI Agents with Capability Diagnostics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Yichen, Cai, Zhuohan, Dai, Sunhao, Zhou, Yuqi, Gu, Zhangxuan, Meng, Changhua, Shen, Shuheng
Format:	Preprint
Published:	2026
Subjects:	Human-Computer Interaction Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VenusBench-GD: A Comprehensive Multi-Platform GUI Benchmark for Diverse Grounding Tasks
by: Zhou, Beitong, et al.
Published: (2025)

E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion
by: Wang, Ke, et al.
Published: (2024)

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding
by: Tang, Fei, et al.
Published: (2025)

UI-Venus-1.5 Technical Report
by: Venus Team, et al.
Published: (2026)

MemGUI-Bench: Benchmarking Memory of Mobile GUI Agents in Dynamic Environments
by: Liu, Guangyi, et al.
Published: (2026)

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents
by: Im, Youngmin, et al.
Published: (2025)

MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents
by: Wang, Luyuan, et al.
Published: (2024)

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
by: Zhou, Yuqi, et al.
Published: (2025)

MVP: Multiple View Prediction Improves GUI Grounding
by: Zhang, Yunzhu, et al.
Published: (2025)

UI-Venus Technical Report: Building High-performance UI Agents with RFT
by: Gu, Zhangxuan, et al.
Published: (2025)

MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment
by: Wu, Qinzhuo, et al.
Published: (2026)

MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents
by: Zhao, Pengxiang, et al.
Published: (2025)

AmbiBench: Benchmarking Mobile GUI Agents Beyond One-Shot Instructions in the Wild
by: Sun, Jiazheng, et al.
Published: (2026)

DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data
by: Venus Team, et al.
Published: (2026)

GUI-CEval: A Hierarchical and Comprehensive Chinese Benchmark for Mobile GUI Agents
by: Li, Yang, et al.
Published: (2026)

META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
by: Sun, Liangtai, et al.
Published: (2022)

Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
by: Deng, Shihan, et al.
Published: (2024)

MobileFlow: A Multimodal LLM For Mobile GUI Agent
by: Nong, Songqin, et al.
Published: (2024)

LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
by: Liu, Guangyi, et al.
Published: (2025)

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment
by: Shi, Yucheng, et al.
Published: (2025)

MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments
by: Kong, Quyu, et al.
Published: (2025)

CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning
by: Zhou, Yuqi, et al.
Published: (2025)

Scaling, Benchmarking, and Reasoning of Vision-Language Agents for Mobile GUI Navigation
by: Qu, Heng, et al.
Published: (2026)

Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization
by: Zhu, Jiachen, et al.
Published: (2026)

PC$^2$: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval
by: Duan, Yue, et al.
Published: (2024)

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
by: Xu, Yifan, et al.
Published: (2025)

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation
by: Li, Ning, et al.
Published: (2025)

MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users
by: Wang, Wenhao, et al.
Published: (2025)

DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding
by: Zhu, Hengchuan, et al.
Published: (2025)

MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios
by: Song, Zhiheng, et al.
Published: (2026)

Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction
by: Zhang, Danyang, et al.
Published: (2023)

Learning with Challenges: Adaptive Difficulty-Aware Data Generation for Mobile GUI Agent Training
by: Kang, Linjia, et al.
Published: (2026)

Mobile-Agent-v3: Fundamental Agents for GUI Automation
by: Ye, Jiabo, et al.
Published: (2025)

SecAgent: Efficient Mobile GUI Agent with Semantic Context
by: Xie, Yiping, et al.
Published: (2026)

D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents
by: Mi, Hongze, et al.
Published: (2025)

Faithful Mobile GUI Agents with Guided Advantage Estimator
by: Hu, Haowen, et al.
Published: (2026)

Mitigating Conversational Inertia in Multi-Turn Agents
by: Wan, Yang, et al.
Published: (2026)

MobileExplorer: Accelerating On-Device Inference for Mobile GUI Agents via Online Exploration
by: Huang, Runxi, et al.
Published: (2026)

Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
by: Dai, Gaole, et al.
Published: (2025)

Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents
by: Xu, Weikai, et al.
Published: (2025)