9 citations · 16 across the 6 of their papers we have counts for
7 papers
Can Large Language Models Generate Observability-Aware Code?
Yongliang Tao, Hongyu Zhang, Pengfei Gao +8
Recent advances in coding agents have enabled the generation of increasingly complex software systems. While existing evaluations primarily focus on functional correctness, product…
Understanding the (In)Security of Vibe-Coded Applications
Junquan Deng, Zhiyu Fan, Ruijie Meng
Recent advances in large language models (LLMs) have enabled vibe coding, an emerging software development paradigm in which users create applications primarily through natural-lan…
Codexity: Secure AI-assisted Code Generation
Sung Yong Kim, Zhiyu Fan, Yannic Noller +1
Despite the impressive performance of Large Language Models (LLMs) in software development activities, recent studies show the concern of introducing vulnerabilities into software…
AutoCodeRover: Autonomous Program Improvement
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan +1
Researchers have made significant progress in automating the software development process in the past decades. Recent progress in Large Language Models (LLMs) has significantly imp…
Software Engineering Educational Experience in Building an Intelligent Tutoring System
Zhiyu Fan, Yannic Noller, Ashish Dandekar +1
The growing number of students enrolling in Computer Science (CS) programmes is pushing CS educators to their limits. This poses significant challenges to computing education, part…
Automated Repair of Programs from Large Language Models
Zhiyu Fan, Xiang Gao, Martin Mirchev +2
Large language models such as Codex, have shown the capability to produce code for many programming tasks. However, the success rate of existing models is low, especially for compl…