Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

The goal of text-to-text generation is to make machines express like a human in many
applications such as conversation, summarization, and translation. It is one of the most …

Dealing with vast amounts of textual data requires the use of efficient systems. Automatic
summarization systems are capable of addressing this issue. Therefore, it becomes highly …

We design probes trained on the internal representations of a transformer language model
to predict its hallucinatory behavior on three grounded generation tasks. To train the probes …

With the rapid development of the Internet, the massive amount of web textual data has
grown exponentially, which has brought considerable challenges to downstream tasks, such …

We consider the problem of automatically generating a narrative biomedical evidence
summary from multiple trial reports. We evaluate modern neural models for abstractive …

Nowadays, most research conducted in the field of abstractive text summarization focuses
on neural-based models alone, without considering their combination with knowledge …