12 citations · 22 across the 6 of their papers we have counts for
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cs.CV2026
Imagine to Act: High-Fidelity Data Synthesis via Image Editing World Model for Scalable GUI Agent Training
Yongxin Ning, Runliang Niu, Qianli Xing +4
Graphical User Interface (GUI) agents have emerged as a promising paradigm for automating complex digital workflows across diverse applications. However, training highly capable an…
cs.RO2026
Beyond Flat Policies: Hierarchical Post-Training for Embodied Agents in Robotic Manipulation
He Kong, Zengjue Chen, Qi Wang +6
Vision-language-action (VLA) models have demonstrated remarkable capabilities in robotic manipulation by leveraging pretrained vision-language models. However, existing post-traini…
cs.CV2026
From Bounding Boxes to Visual Reasoning: An On-Policy Data Annotation Tool for Vision-Language Models
Like Zhang, Runliang Niu, Shiqi Wang +5
Vision-language models (VLMs) are rapidly advancing toward sophisticated grounded structured visual reasoning. Training models for such advanced capabilities demands a new genre of…