Graph Attention Networks Fail to Improve Text Summarization

Researchers tested Graph Attention Networks using rhetorical structure and co-reference data to enhance text summarization but found simpler MLP architectures performed better. The team created new RST annotations for the XSum dataset, establishing a benchmark for future graph-based summarization research.