Multi-document summarization aims to obtain core information from a
coll...
Pairwise human judgments are pivotal in guiding large language models (L...
Aspect or query-based summarization has recently caught more attention, ...
Text segmentation is important for signaling a document's structure. Wit...
Abstractive summarization models typically learn to capture the salient
...
Recently, deep reinforcement learning (RL) has proven its feasibility in...
With the explosive growth of livestream broadcasting, there is an urgent...
Amongst the best means to summarize is highlighting. In this paper, we a...
Skeleton-based action recognition has recently attracted a lot of attent...
Emerged as one of the best performing techniques for extractive
summariz...
The video based CNN works have focused on effective ways to fuse appeara...
In this work[This work was supported in part by the National
Science Fou...
The most important obstacles facing multi-document summarization include...