3 papers
cs.SE2025
Capturing Semantic Flow of ML-based Systems
Shin Yoo, Robert Feldt, Somin Kim +1
ML-based systems are software systems that incorporates machine learning components such as Deep Neural Networks (DNNs) or Large Language Models (LLMs). While such systems enable a…
cs.SE2025
DANDI: Diffusion as Normative Distribution for Deep Neural Network Input
Somin Kim, Shin Yoo
Surprise Adequacy (SA) has been widely studied as a test adequacy metric that can effectively guide software engineers towards inputs that are more likely to reveal unexpected beha…
cs.AI2024
Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validation
Suho Kang, Jungyang Park, Joonseo Ha +4
Foundation models (FMs) have achieved significant success across various tasks, leading to research on benchmarks for reasoning abilities. However, there is a lack of studies on FM…