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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

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…

cs.CV2025

NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

NextStep Team, Chunrui Han, Guopeng Li +47

Prevailing autoregressive (AR) models for text-to-image generation either rely on heavy, computationally-intensive diffusion models to process continuous image tokens, or employ ve…

cs.CV2025

M-DocSum: Do LVLMs Genuinely Comprehend Interleaved Image-Text in Document Summarization?

Haolong Yan, Kaijun Tan, Yeqing Shen +5

We investigate a critical yet under-explored question in Large Vision-Language Models (LVLMs): Do LVLMs genuinely comprehend interleaved image-text in the document? Existing docume…