Fair Abstractive Summarization of Diverse Perspectives

arXiv:2311.07884v2 Announce Type: replace
Abstract: People from different social and demographic groups express diverse perspectives and conflicting opinions on a broad set of topics such as product reviews, healthcare, law, and politics. A fair summary should provide a comprehensive coverage of diverse perspectives without underrepresenting certain groups. However, current work in summarization metrics and Large Language Models (LLMs) evaluation has not explored fair abstractive summarization. In this paper, we systematically investigate fair abstractive summarization for user-generated data. We first formally …

arxiv cs.cl diverse fair perspectives summarization type