2 papers
cs.CV2026
VisRefiner: Learning from Visual Differences for Screenshot-to-Code Generation
Jie Deng, Kaichun Yao, Libo Zhang
Screenshot-to-code generation aims to translate user interface screenshots into executable frontend code that faithfully reproduces the target layout and style. Existing multimodal…
cs.SE2025
A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?
QiHong Chen, Jiachen Yu, Jiawei Li +3
Recent advancements in Large Language Models (LLMs) have led to their widespread application in automated code generation. However, these models can still generate defective code t…