Automatic summarization of legal case judgements, which are known to be long and
complex, has traditionally been tried via extractive summarization models. In recent years …

Scientific document summarization aims to condense complex and long articles in both
technical and plain-language terms to facilitate the accessibility and dissemination of …

Large-scale public datasets are vital for driving the progress of abstractive summarization,
especially in law, where documents have highly specialized jargon. However, the available …

An arduous biomedical task involves condensing evidence derived from multiple
interrelated studies, given a context as input, to generate reviews or provide answers …

The black-box architecture of pretrained language models (PLMs) hinders the interpretability
of lengthy responses in long-form question answering (LFQA). Prior studies use knowledge …

Detailed transcription maps of bacteriophages are not usually explored, limiting our
understanding of molecular phage biology and restricting their exploitation and engineering …