The rapid advancement of Large Language Models (LLMs) has driven their expanding
application across various fields. One of the most promising applications is their role as …

Experimental evaluations of software engineering innovations, eg, tools and processes,
often include human-subject studies as a component of a multi-pronged strategy to obtain …

Since the explosion in popularity of ChatGPT, large language models (LLMs) have
continued to impact our everyday lives. Equipped with external tools that are designed for a …

The integration of Large Language Models (LLMs) into the healthcare domain has the
potential to significantly enhance patient care and support through the development of …

We present a novel approach for enhancing diversity and control in data annotation tasks by
personalizing large language models (LLMs). We investigate the impact of injecting diverse …

Research on Large Language Models (LLMs) has recently witnessed an increasing interest
in extending the models' context size to better capture dependencies within long documents …

This study explores the use of LLMs for providing quantitative zero-shot sentiment analysis
of implicit software desirability, addressing a critical challenge in product evaluation where …

Bug fixing holds significant importance in software development and maintenance. Recent
research has made substantial strides in exploring the potential of large language models …

The growing demand for AI training data has transformed data annotation into a global
industry, but traditional approaches relying on human annotators are often time-consuming …