In this paper, we propose a joint learning approach to improve neural abstractive multi-document summarization by using single-document summarization dataset.
we use the shared document encoder and summary decoder to process each document in the document set, and apply a decoding controller to aggregates all output probabilities from the summary decoder for multi-document summarization.