collaborators

9 papers

cs.AI2026

Skill-Guided Continuation Distillation for GUI Agents

Zhimin Fan, Hongwei Yu, Yeqing Shen +9

Improving GUI agents typically relies on behavior cloning on expert trajectories. However, as the current policy deviates from the expert policy, it inevitably encounters policy-in…

cs.CV2026

AndroidDaily: A Verifiable Benchmark for Mobile GUI Agents on Real-World Closed-Source Applications

Yifan Sui, Xin Huang, Hongbing Li +14

The rapid development of GUI foundation models and mobile GUI agents has spurred numerous evaluation benchmarks, yet most rely on simulated environments or open-source applications…

cs.CV2026

DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions

Xinran Wang, Yuxuan Zhang, Xiao Zhang +7

Accurately detecting and localizing hallucinations is a critical task for ensuring high reliability of image captions. In the era of Multimodal Large Language Models (MLLMs), capti…

cs.CV2026

STEP3-VL-10B Technical Report

Ailin Huang, Chengyuan Yao, Chunrui Han +90

We present STEP3-VL-10B, a lightweight open-source foundation model designed to redefine the trade-off between compact efficiency and frontier-level multimodal intelligence. STEP3-…

cs.CV2025

Step-GUI Technical Report

Haolong Yan, Jia Wang, Xin Huang +95

Recent advances in multimodal large language models unlock unprecedented opportunities for GUI automation. However, a fundamental challenge remains: how to efficiently acquire high…

cs.CV2025

GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning

Haolong Yan, Yeqing Shen, Xin Huang +9

With the rapid development of Large Vision Language Models, the focus of Graphical User Interface (GUI) agent tasks shifts from single-screen tasks to complex screen navigation cha…