3 papers
cs.SE2026
Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective
Weiyu Kong, Yun Lin, Xiwen Teoh +5
Large Language Models (LLMs) have significantly improved programming efficiency by translating natural language into code, yet their performance deteriorates when handling large-sc…
cs.SE2026
XSearch: Explainable Code Search via Concept-to-Code Alignment
Yiming Liu, Ruofan Liu, Yun Lin +7
Semantic code search has been widely adopted in both academia and industry. These approaches embed natural-language queries and code snippets into a shared embedding space and retr…
cs.SE2025
LLM as an Execution Estimator: Recovering Missing Dependency for Practical Time-travelling Debugging
Yunrui Pei, Hongshu Wang, Wenjie Zhang +3
Determining the dynamic data dependency of a step that reads a variable is challenging. It typically requires either exhaustive instrumentation, which becomes prohibitively exp…