Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

Abstract Automated Planning and Scheduling is among the growing areas in Artificial
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …

Large language models (LLMs) have demonstrated remarkable zero-shot generalization
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …

Static analysis is a widely used technique in software engineering for identifying and
mitigating bugs. However, a significant hurdle lies in achieving a delicate balance between …

Large Language Models (LLMs) have been the subject of active research, significantly
advancing the field of Natural Language Processing (NLP). From BERT to BLOOM, LLMs …

Large language models (LLMs) have played a pivotal role in revolutionizing various facets
of our daily existence. Solving attention regression is a fundamental task in optimizing LLMs …

While static analysis is instrumental in uncovering software bugs, its precision in analyzing
large and intricate codebases remains challenging. The emerging prowess of Large …

From pre-trained language model (PLM) to large language model (LLM), the field of natural
language processing (NLP) has witnessed steep performance gains and wide practical …

A survey conducted in 2023 surveyed 3,017 high school and college students. It found that
almost one-third of them confessed to using ChatGPT for assistance with their homework …

Generative AI, especially via large language models (LLMs), has transformed content
creation across text, images, and music, showcasing capabilities in following instructions …