Requirements engineering for machine learning: A review and reflection
Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …
requires the integration of well-understood domain models and state-of-the-art machine …
Biasasker: Measuring the bias in conversational ai system
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 …
as ChatGPT, and digital assistants like Siri, have been widely deployed in daily life …
MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software
Machine Learning (ML) software can lead to unfair and unethical decisions, making software
fairness bugs an increasingly significant concern for software engineers. However …
fairness bugs an increasingly significant concern for software engineers. However …
Remos: Reducing defect inheritance in transfer learning via relevant model slicing
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 …
enables developers to build custom models (students) based on sophisticated pretrained …
An empirical study on data distribution-aware test selection for deep learning enhancement
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 …
to evolve upon the rapid growth of test data for continuous enhancement (eg, adapting to …
A synergic approach of deep learning towards digital additive manufacturing: A review
Deep learning and additive manufacturing have progressed together in the previous couple
of decades. Despite being one of the most promising technologies, they have several flaws …
of decades. Despite being one of the most promising technologies, they have several flaws …
Mttm: Metamorphic testing for textual content moderation software
The exponential growth of social media platforms such as Twitter and Facebook has
revolutionized textual communication and textual content publication in human society …
revolutionized textual communication and textual content publication in human society …
A & b== b & a: Triggering logical reasoning failures in large language models
Recent advancements in large language models (LLMs) have propelled Artificial
Intelligence (AI) to new heights, enabling breakthroughs in various tasks such as writing …
Intelligence (AI) to new heights, enabling breakthroughs in various tasks such as writing …
An image is worth a thousand toxic words: A metamorphic testing framework for content moderation software
The exponential growth of social media platforms has brought about a revolution in
communication and content dissemination in human society. Nevertheless, these platforms …
communication and content dissemination in human society. Nevertheless, these platforms …
Comprehensive evaluation of chatgpt reliability through multilingual inquiries
PCR Puttaparthi, SS Deo, H Gul, Y Tang… - arXiv preprint arXiv …, 2023 - arxiv.org
ChatGPT is currently the most popular large language model (LLM), with over 100 million
users, making a significant impact on people's lives. However, due to the presence of …
users, making a significant impact on people's lives. However, due to the presence of …