Objective: The article aims to offer a thorough examination and comprehension of the
challenges and pro‐spects connected with artificial intelligence (AI) prompt engineering. Our …

The high annotation costs and diverse demands of various summarization tasks motivate the
development of few-shot summarization. However, despite the emergence of many …

For long document summarization, discourse structure is important to discern the key
content of the text and the differences in importance level between sentences. Unfortunately …

We propose an approach for the structure controllable summarization of long legal opinions
that considers the argument structure of the document. Our approach involves using …

Surrounded by structured data, such as medical data, financial data, knowledge bases, etc.,
data-to-text generation has become an important natural language processing task that can …

Natural language generation (NLG) models are becoming a highly sought-after research
focus in the field of natural language processing (NLP), demonstrating strong capabilities in …

Recent years have witnessed significant advancements in neural text generation driven by
the emergence of large language models and growing interest in this field. This systematic …