  This paper presents TL;DR Progress, a new tool for exploring the literature
on neural text summarization. It organizes 514~papers based on a comprehensive
annotation scheme for text summarization approaches and enables fine-grained,
faceted search. Each paper was manually annotated to capture aspects such as
evaluation metrics, quality dimensions, learning paradigms, challenges
addressed, datasets, and document domains. In addition, a succinct indicative
summary is provided for each paper, consisting of automatically extracted
contextual factors, issues, and proposed solutions. The tool is available
online at https://www.tldr-progress.de, a demo video at
https://youtu.be/uCVRGFvXUj8
