collaborators

6 papers

cs.CL2026

Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence

Xuanle Zhao, Qiushi Sun, Jingyu Xiao +16

While Large Language Models (LLMs) have substantially advanced text-to-code generation, many real programming tasks specify intent through visual artifacts such as screenshots, cha…

cs.AI2026

Cookie-Bench: Continuous On-screen Key Interaction Evaluation for Web Generation

Haoyue Yang, Zhangxiao Shen, Fan Ding +8

Front-end web code has become a core product surface for every frontier LLM release, yet evaluating these interactive applications at development speed remains costly because human…

cs.AI2026

OmniDiagram: Advancing Unified Diagram Code Generation via Visual Interrogation Reward

Haoyue Yang, Xuanle Zhao, Xuexin Liu +2

The paradigm of programmable diagram generation is evolving rapidly, playing a crucial role in structured visualization. However, most existing studies are confined to a narrow ran…

cs.CL2025

Automating Hardware Design and Verification from Architectural Papers via a Neural-Symbolic Graph Framework

Haoyue Yang, Xuanle Zhao, Yujie Liu +5

The reproduction of hardware architectures from academic papers remains a significant challenge due to the lack of publicly available source code and the complexity of hardware des…

cs.CV2025

VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning

Xuanle Zhao, Deyang Jiang, Zhixiong Zeng +8

While recent specialized multimodal code generation models excel in tasks like chart-to-code generation, their reliance on single-task training limits generalization and hinders th…

cs.CL2025

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing

Xuanle Zhao, Xuexin Liu, Haoyue Yang +5

Although multimodal large language models (MLLMs) show promise in generating chart rendering code, editing charts via code presents a greater challenge. This task demands MLLMs to…