3 papers
cs.AI2025
An Empirical Study of Reasoning Steps in Thinking Code LLMs
Haoran Xue, Gias Uddin, Song Wang
Thinking Large Language Models (LLMs) generate explicit intermediate reasoning traces before final answers, potentially improving transparency, interpretability, and solution accur…
cs.SE2025
PAGENT: Learning to Patch Software Engineering Agents
Haoran Xue, Gias Uddin, Song Wang
LLM Agents produce patches automatically to resolve an issue. However, they can generate inaccurate patches. Little is known about the root causes behind those failed patches or ho…
cs.SE2024
SWE-Bench+: Enhanced Coding Benchmark for LLMs
Reem Aleithan, Haoran Xue, Mohammad Mahdi Mohajer +3
Large Language Models (LLMs) in Software Engineering (SE) can offer assistance for coding. To facilitate a rigorous evaluation of LLMs in practical coding contexts, Carlos et al. i…