As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …

We introduce TLDR generation, a new form of extreme summarization, for scientific papers.
TLDR generation involves high source compression and requires expert background …

Recently, opinion summarization, which is the generation of a summary from multiple
reviews, has been conducted in a self-supervised manner by considering a sampled review …

In e-commerce, opinion summarization is the process of summarizing the consensus
opinions found in product reviews. However, the potential of additional sources such as …

Opinion summarization sets itself apart from other types of summarization tasks due to its
distinctive focus on aspects and sentiments. Although certain automated evaluation methods …

Opinion summarization focuses on generating summaries that reflect popular subjective
information expressed in multiple online reviews. While generated summaries offer general …

The problem of query-focused multi-document summarization (QMDS) is to generate a
summary from multiple source documents on identical/similar topics based on the query …

Opinion summarization can facilitate user's decision-making by mining the salient review
information. However, due to the lack of sufficient annotated data, most of the early works …

As more than 70$\% $ of reviews in the existing opinion summary data set are positive,
current opinion summarization approaches are reluctant to generate negative summaries …