Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …

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 …

Recent work in large language modeling (LLMs) has used fine-tuning to align outputs with
the preferences of a prototypical user. This work assumes that human preferences are static …

To address the challenges of digital intelligence in the digital economy, artificial intelligence-
generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist or replace …

As language models become more powerful, training and evaluation are increasingly
bottlenecked by the data and metrics used for a particular task. For example, summarization …

Text generation has made significant advances in the last few years. Yet, evaluation metrics
have lagged behind, as the most popular choices (eg, BLEU and ROUGE) may correlate …

Meetings are a key component of human collaboration. As increasing numbers of meetings
are recorded and transcribed, meeting summaries have become essential to remind those …

This paper introduces the SAMSum Corpus, a new dataset with abstractive dialogue
summaries. We investigate the challenges it poses for automated summarization by testing …

Attention Model has now become an important concept in neural networks that has been
researched within diverse application domains. This survey provides a structured and …

In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …