Generative artificial intelligence (AI), propelled by the advancements in large language
models (LLMs), has exhibited remarkable capabilities in various software engineering (SE) …

The emergence of generative language models (GLMs), such as OpenAI's ChatGPT, is
changing the way we communicate with computers and has a major impact on the …

Story visualization aims to generate a series of realistic and coherent images based on a
storyline. Current models adopt a frame-by-frame architecture by transforming the pre …

This paper compares different pre-trained and fine-tuned large language models (LLMs) for
hate speech detection. Our research underscores challenges in LLMs' cross-domain validity …

The use of Transformer-based pre-trained language models has become prevalent in
enhancing the performance of task-oriented dialogue systems. These models, which are pre …

Increasing volumes of biomedical data are amassing in databases. Large-scale analyses of
these data have wide-ranging applications in biology and medicine. Such analyses require …

In the context of Industry 4.0, ensuring the compatibility of digital twins (DTs) with existing
software systems in the manufacturing sector presents a significant challenge. The Asset …

This study constructed a Japanese chat dataset for tuning large language models (LLMs),
which consist of about 8.4 million records. Recently, LLMs have been developed and …

In the era of Industry 4.0, Zero Defect Manufacturing (ZDM) has emerged as a prominent
strategy for quality improvement, emphasizing data-driven approaches for defect prediction …

With the growing scale of pre-trained language models (PLMs), full parameter fine-tuning
becomes prohibitively expensive and practically infeasible. Therefore, parameter-efficient …