1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.HC2025★ 1 cited
A Case Study of Scalable Content Annotation Using Multi-LLM Consensus and Human Review
Mingyue Yuan, Jieshan Chen, Zhenchang Xing +2
Content annotation at scale remains challenging, requiring substantial human expertise and effort. This paper presents a case study in code documentation analysis, where we explore…
cs.SE2024
DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models
Mingyue Yuan, Jieshan Chen, Zhenchang Xing +6
The rise of Large Language Models (LLMs) has streamlined frontend interface creation through tools like Vercel's V0, yet surfaced challenges in design quality (e.g., accessibility,…
cs.HC2024
Towards Human-AI Synergy in UI Design: Supporting Iterative Generation with LLMs
Mingyue Yuan, Jieshan Chen, Yongquan Hu +5
In automated UI design generation, a key challenge is the lack of support for iterative processes, as most systems focus solely on end-to-end output. This stems from limited capabi…