3 papers
cs.SE2026
Complexity-Aware Evaluation of LLM Comprehension
Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila
Large language models (LLMs) are increasingly used for software engineering tasks that require understanding existing source code, including behavior prediction, function explanati…
cs.SE2026
Prompt Optimization for LLM Code Generation via Reinforcement Learning
Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila
Large Language Models (LLMs) can generate code from natural language, but their performance is highly sensitive to prompt formulation. We propose a reinforcement-learning-based fra…
cs.SE2024
Understanding Defects in Generated Codes by Language Models
Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila
This study investigates the reliability of code generation by Large Language Models (LLMs), focusing on identifying and analyzing defects in the generated code. Despite the advance…