2 papers
cs.CL2024
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
Anum Afzal, Ribin Chalumattu, Florian Matthes +1
Despite the advances in the abstractive summarization task using Large Language Models (LLM), there is a lack of research that asses their abilities to easily adapt to different do…
cs.CL2024
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition
Laura Mascarell, Yan L'Homme, Majed El Helou
Understanding the nature of high-quality summaries is crucial to further improve the performance of multi-document summarization. We propose an approach to characterize human-writt…