3 papers
cs.SE2026
Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development
Srijita Basu, Viktor Kjellberg, Simin Sun +5
Large Language Models (LLMs) are increasingly applied to software engineering (SE), yet their potential for autonomous, role-oriented collaboration remains largely underexplored. U…
cs.CR2026
Data Leakage in Automotive Perception: Practitioners' Insights
Md Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic +2
Data leakage is the inadvertent transfer of information between training and evaluation datasets that poses a subtle, yet critical, risk to the reliability of machine learning (ML)…
cs.CR2024
Improving Image Data Leakage Detection in Automotive Software
Md Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic +2
Data leakage is a very common problem that is often overlooked during splitting data into train and test sets before training any ML/DL model. The model performance gets artificial…