The task of determining whether two texts are paraphrases has long been a challenge in
NLP. However, the prevailing notion of paraphrase is often quite simplistic, offering only a …

Text summarization research has undergone several significant transformations with the
advent of deep neural networks, pre-trained language models (PLMs), and recent large …

How to properly conduct human evaluations for text summarization is a longstanding
challenge. The Pyramid human evaluation protocol, which assesses content selection by …

Medical abstractive summarization faces the challenge of balancing faithfulness and
informativeness. Current methods often sacrifice key information for faithfulness or introduce …

Long-form abstractive summarization is a task that has particular importance in the legal
domain. Automated evaluation metrics are important for the development of text generation …

The advent of large language models (LLMs) has significantly advanced the field of text
summarization, enabling the generation of coherent and contextually accurate summaries …