From the 1 of 12 linked papers with an AI index.
12 papers
Impossible to hide secret ...: Uncovering Security and Privacy Issues in LLM-native IDEs
Mostafijur Rahman Akhond, Md Afif Al Mamun, Gias Uddin +1
The paper investigates security and privacy concerns reported by developers using LLM-native IDEs, analyzing Reddit discussions to build a taxonomy of issues and suggesting design…
Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation
Sanjeepan Sivapiran, Gias Uddin
Large Language Model (LLM) alignment trains an LLM using preference data to produce outputs that better meet established quality standards. While LLM alignment techniques are studi…
BLAgent: Agentic RAG for File-Level Bug Localization
Md Afif Al Mamun, Gias Uddin
Bug localization remains a key bottleneck for large language model (LLM)-based software maintenance, where accurately identifying faulty code is essential for debugging, root cause…
ABTest: Behavior-Driven Testing for AI Coding Agents
Wuyang Dai, Moses Openja, Hung Viet Pham +3
AI coding agents are increasingly integrated into real-world software development workflows, yet their robustness under diverse and adversarial scenarios remains poorly understood.…
TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings
Md Afif Al Mamun, Gias Uddin, Lan Xia +1
Pretrained Language Models or PLMs are transformer-based architectures that can be used in bug triaging tasks. PLMs can better capture token semantics than traditional Machine Lear…
Engineering Pitfalls in AI Coding Tools: An Empirical Study of Bugs in Claude Code, Codex, and Gemini CLI
Ruixin Zhang, Wuyang Dai, Hung Viet Pham +3
The rapid integration of Large Language Models (LLMs) into software development workflows has given rise to a new class of AI-assisted coding tools, such as Claude-Code, Codex, and…