collaborators

7 papers

cs.CV2026

Video2Code: Generating Interactive Webpages from UI Videos via Action-Aware Revisit

Mingde Xu, Zhen Yang, Yan Wang +7

UI videos provide a natural input for generating interactive webpages, as they capture both webpage appearance and action-triggered state transitions. However, directly applying vi…

cs.AI2026

LongWebBench: Evaluating Structural and Functional Webpage Generation in Long-Horizon Settings

Yi Zhao, Zhen Yang, Mengpan Chen +5

Recent vision-language models (VLMs) have shown promising progress in generating webpages from visual inputs, yet existing evaluations mainly focus on short, single-screen, and lar…

cs.CV2026

UI2Code^N: UI-to-Code Generation as Interactive Visual Optimization

Zhen Yang, Wenyi Hong, Mingde Xu +5

UI-to-code aims to translate UI screenshots into executable front-end code. Despite progress with vision-language models (VLMs), most existing methods formulate UI-to-code as a sin…

cs.CV2026

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

V Team, Wenyi Hong, Xiaotao Gu +94

We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depen…

cs.CL2026

Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA

Wenwei Li, Ming Xu, Tianle Xia +7

Industrial advertising question answering (QA) is a high-stakes task in which hallucinated content, particularly fabricated URLs, can lead to financial loss, compliance violations,…

cs.CL2026

Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training

Tianle Xia, Ming Xu, Lingxiang Hu +7

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by incorporating external knowledge, yet traditional single-round retrieval struggles with complex multi-…