50 citations · 168 across the 13 of their papers we have counts for
3 papers · 1 filter
Correctness, Convergence, and AI-Generated Code Detection: A Longitudinal Study of Student and Large Language Model Code in Introductory Programming
Runlong Ye, Jing Fan, Angela Zavaleta Bernuy +4
Large language models can generate plausible solutions to programming assignments, making it tempting to detect their use by matching student code against a reference bank of gener…
From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews
Runlong Ye, Naaz Sibia, Angela Zavaleta Bernuy +4
Systematic Literature Reviews (SLRs) are fundamental to scientific progress, yet the process is hindered by a fragmented tool ecosystem that imposes a high cognitive load. This fri…
A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics
Suqing Liu, Runlong Ye, Christopher Eaton +2
To address the scalability of feedback in computer science while mitigating the privacy and cost limitations of commercial Large Language Models (LLMs), this study evaluates a loca…