Text simplification research has mostly focused on sentence-level
simpli...
With the recent appearance of LLMs in practical settings, having methods...
In long document controllable summarization, where labeled data is scarc...
This paper introduces the shared task of summarizing documents in severa...
Abstractive summarization systems leveraging pre-training language model...
The propensity of abstractive summarization systems to make factual erro...
Text summarization aims to condense long documents and retain key
inform...
Query-focused summarization (QFS) aims to produce summaries that answer
...
Existing abstractive summarization models lack explicit control mechanis...
The majority of available text summarization datasets include short-form...
Novel neural architectures, training strategies, and the availability of...
Current summarization systems yield generic summaries that are disconnec...
With thousands of academic articles shared on a daily basis, it has beco...
The scarcity of comprehensive up-to-date studies on evaluation metrics f...
Human-like chit-chat conversation requires agents to generate responses ...
Currently used metrics for assessing summarization algorithms do not acc...
Text summarization aims at compressing long documents into a shorter for...
Abstractive text summarization aims to shorten long text documents into ...