Previous research in multi-document news summarization has typically
con...
Two-step approaches, in which summary candidates are generated-then-rera...
With the recent appearance of LLMs in practical settings, having methods...
Recent studies have found that summaries generated by large language mod...
Interpretability and efficiency are two important considerations for the...
In long document controllable summarization, where labeled data is scarc...
Human evaluation is the foundation upon which the evaluation of both
sum...
Very large language models such as GPT-3 have shown impressive performan...
State-of-the-art summarization models still struggle to be factually
con...
This paper introduces the shared task of summarizing documents in severa...
The propensity of abstractive summarization systems to make factual erro...
Factual consistency is an essential quality of text summarization models...
Query-focused summarization (QFS) aims to produce summaries that answer
...
Community Question Answering (CQA) fora such as Stack Overflow and Yahoo...
Current pre-trained models applied to summarization are prone to factual...
While online conversations can cover a vast amount of information in man...
Community Question Answering (CQA) forums such as Stack Overflow and Yah...
Models pretrained with self-supervised objectives on large text corpora
...
The scarcity of comprehensive up-to-date studies on evaluation metrics f...
Question Answering (QA) is in increasing demand as the amount of informa...
Scientific article summarization is challenging: large, annotated corpor...
Scientific article summarization is challenging: large, annotated corpor...
Machine learning plays an increasing role in intelligent tutoring system...
Automatic generation of summaries from multiple news articles is a valua...
Recent years have witnessed the rising popularity of Natural Language
Pr...
Computational models for sarcasm detection have often relied on the cont...
The field of Natural Language Processing (NLP) is growing rapidly, with ...