Large-language models (LLMs) such as GPT-4 caught the interest of many scientists.
Recent studies suggested that these models could be useful in chemistry and materials …

In recent years, generative transformers have become increasingly prevalent in the field of
artificial intelligence, especially within the scope of natural language processing. This paper …

Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence,
it is important to understand the biases present in their outputs in order to avoid perpetuating …

Current privacy research on large language models (LLMs) primarily focuses on the issue of
extracting memorized training data. At the same time, models' inference capabilities have …

Learning technologies often do not meet the university requirements for learner engagement
via interactivity and real-time feedback. In addition to the challenge of providing …

Knowledge mining from synthetic biology journal articles for machine learning (ML)
applications is a labor-intensive process. The development of natural language processing …

Recent advancements in artificial intelligence (AI) technology have raised concerns about
the ethical, moral, and legal safeguards. There is a pressing need to improve metrics for …

Historically, mastery of writing was deemed essential to human progress. However, recent
advances in generative AI have marked an inflection point in this narrative, including for …

Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate
existing socioeconomic inequalities. In this article, we provide a state-of-the-art …

Engineering Design is undergoing a transformative shift with the advent of AI, marking a new
era in how we approach product, system, and service planning. Large language models …