CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization
Abstractive dialogue summarization is the task of distilling conversations into informative
and concise summaries. Although focused reviews have been conducted on this topic, there …
and concise summaries. Although focused reviews have been conducted on this topic, there …
Multiple References with Meaningful Variations Improve Literary Machine Translation
While a source sentence can be translated in many ways, most machine translation (MT)
models are trained with only a single reference. Previous work has shown that using …
models are trained with only a single reference. Previous work has shown that using …
Towards Human Understanding of Paraphrase Types in Large Language Models
Paraphrases represent a human's intuitive ability to understand expressions presented in
various different ways. Current paraphrase evaluations of language models primarily use …
various different ways. Current paraphrase evaluations of language models primarily use …