Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

Powered by advanced Artificial Intelligence (AI) techniques, conversational AI systems, such
as ChatGPT, and digital assistants like Siri, have been widely deployed in daily life …

Machine Learning (ML) software can lead to unfair and unethical decisions, making software
fairness bugs an increasingly significant concern for software engineers. However …

Transfer learning is a popular software reuse technique in the deep learning community that
enables developers to build custom models (students) based on sophisticated pretrained …

Similar to traditional software that is constantly under evolution, deep neural networks need
to evolve upon the rapid growth of test data for continuous enhancement (eg, adapting to …

The exponential growth of social media platforms such as Twitter and Facebook has
revolutionized textual communication and textual content publication in human society …

Pre-trained code generation models (PCGMs) have been widely applied in neural code
generation, which can generate executable code from functional descriptions in natural …

Deep learning (DL) Systems have been widely used in various domains. Similar to
traditional software, DL system evolution may also incur regression faults. To find the …

Deep learning (DL) models are trained on sampled data, where the distribution of training
data differs from that of real-world data (ie, the distribution shift), which reduces the model's …

While Large Language Models (LLMs) have seen widespread applications across
numerous fields, their limited interpretability poses concerns regarding their safe operations …