11 citations · 69 across the 30 of their papers we have counts for
3 papers · 1 filter
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries
Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong +1
Ideal summarization models should generalize to novel summary-worthy content without remembering reference training summaries by rote. However, a single average performance score o…
XGen-7B Technical Report
Erik Nijkamp, Tian Xie, Hiroaki Hayashi +22
Large Language Models (LLMs) have become ubiquitous across various domains, transforming the way we interact with information and conduct research. However, most high-performing LL…
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri +4
Previous research in multi-document news summarization has typically concentrated on collating information that all sources agree upon. However, the summarization of diverse inform…