Literature review requires researchers to synthesize a large amount of information and is
increasingly challenging as the scientific literature expands. In this work, we investigate the …

Abstractive summarization aims to generate a concise summary covering the input
document's salient information. Within a report document, the salient information can be …

Automatic document summarization aims to produce a concise summary covering the input
document's salient information. Within a report document, the salient information can be …

Common law courts need to refer to similar precedents' judgments to inform their current
decisions. Generating high-quality summaries of court judgment documents can facilitate …

We propose a prompt-based pipeline for extreme summarization of large collections of
scientific articles, which facilitates the consumption of scientific knowledge in high-volume …

Large language models (LLMs) have exhibited remarkable performance across various
tasks in natural language processing. Nevertheless, challenges still arise when these tasks …

Knowledge discovery is an ongoing research endeavor aimed at uncovering valuable
insights and patterns from large volumes of data in massive social systems (MSSs) …

Judgment summaries are beneficial for legal practitioners to comprehend and retrieve case
law efficiently. Unlike summaries in general domains, eg, news, judgment summaries often …

Document summarization is a task to shorten texts into concise and informative summaries.
This paper introduces a novel dataset designed for summarizing multiple scientific articles …

Long documents, like academic literature, financial reports, and legal instruments, are
important information sources. Nowadays, people can access massive long documents …