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20242026
most citedUI-Venus Technical Report: Building High-performance UI Agents with RFT

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2026

OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use

Hanzhang Zhou, Long Li, Quyu Kong +12

Computer use has reached a turning point: the focus is expanding from GUI-only interaction to systems that complete tasks on users' computers through visual and programmatic interf…

cs.CV2026

UI-Venus-1.5 Technical Report

Venus Team, Changlong Gao, Zhangxuan Gu +24

GUI agents have emerged as a powerful paradigm for automating interactions in digital environments, yet achieving both broad generality and consistently strong task performance rem…

cs.CV2025

VenusBench-GD: A Comprehensive Multi-Platform GUI Benchmark for Diverse Grounding Tasks

Beitong Zhou, Zhexiao Huang, Yuan Guo +10

GUI grounding is a critical component in building capable GUI agents. However, existing grounding benchmarks suffer from significant limitations: they either provide insufficient d…

cs.CV2025★ 1 cited

UI-Venus Technical Report: Building High-performance UI Agents with RFT

Zhangxuan Gu, Zhengwen Zeng, Zhenyu Xu +21

We present UI-Venus, a native UI agent that takes only screenshots as input based on a multimodal large language model. UI-Venus achieves SOTA performance on both UI grounding and…

cs.CV2024

E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion

Ke Wang, Tianyu Xia, Zhangxuan Gu +5

Online GUI navigation on mobile devices has driven a lot of attention recent years since it contributes to many real-world applications. With the rapid development of large languag…