12 citations · 12 across the 1 of their papers we have counts for
3 papers
cs.SE2025
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap
Kaicheng Huang, Fanyu Wang, Yutan Huang +1
Advancements in large language models (LLMs) have led to a surge of prompt engineering (PE) techniques that can enhance various requirements engineering (RE) tasks. However, curren…
cs.CY2025
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
Yutan Huang, Chetan Arora, Wen Cheng Houng +3
[Context] Generative AI technologies, particularly Large Language Models (LLMs), have transformed numerous domains by enhancing convenience and efficiency in information retrieval,…
cs.SE2024★ 12 cited
Generating User Experience Based on Personas with AI Assistants
Yutan Huang
Traditional UX development methodologies focus on developing ``one size fits all" solutions and lack the flexibility to cater to diverse user needs. In response, a growing interest…