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cs.CV2026
MV-Bench: Benchmarking Multimodal Large Language Models for Coordinated Multi-View Interface Construction
Yue Zhao, Hongxu Liu, Feiyu Wang +5
Multimodal large language models (MLLMs) are increasingly expected to automate visualization development by generating code directly from visual designs. However, existing evaluati…
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.CV2025
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…