Automatic text summarization seeks to condense source documents into fluent, informative summaries that preserve essential meaning. Two principal approaches have emerged: extractive summarization, ...

Dialogue summarization, an essential component of intelligent dialogue systems, holds significant importance. While end-to-end summarization models exhibit robust performance, their success is ...

Text summarization, driven by advances in Gen AI and natural language processing (NLP), has the potential to drive efficiency, accuracy, and strategic decision-making across legal processes. But how ...

In a recent study posted to the medRxiv* preprint server, researchers systematically evaluated the capabilities and limitations of large language models (LLMs), specifically ChatGPT, for zero-shot ...