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From the 1 of 11 linked papers with an AI index.

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20242026
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cs.CV2026

One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding

Chen Liu, Ling Chen, Hanzhang Zhou +5

MLLM-based GUI grounding methods commonly formulate target localization as autoregressive coordinate generation, enabling models to leverage the strong instruction-following and se…

cs.CV2026

ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models

Yuqi Liu, Liangyu Chen, Jiazhen Liu +4

Post-training Large Vision-and-Language Models (LVLMs) typically involves Supervised Fine-Tuning (SFT) for knowledge injection or Reinforcement Learning with Verifiable Rewards (RL…

cs.CV2025

MAI-UI Technical Report: Real-World Centric Foundation GUI Agents

Hanzhang Zhou, Xu Zhang, Panrong Tong +8

The development of GUI agents could revolutionize the next generation of human-computer interaction. Motivated by this vision, we present MAI-UI, a family of foundation GUI agents…

cs.CV2025

UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning

Liangyu Chen, Hanzhang Zhou, Chenglin Cai +10

GUI grounding, which maps natural-language instructions to actionable UI elements, is a core capability of GUI agents. Prior works largely treats instructions as a static proxy for…

cs.CV2025

ChartM: Benchmarking Chart Editing with Multimodal Instructions

Donglu Yang, Liang Zhang, Zihao Yue +4

Charts are a fundamental visualization format widely used in data analysis across research and industry. While enabling users to edit charts based on high-level intentions is of gr…