TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models

TimelineReasoner is a novel framework that leverages Large Reasoning Models (LRMs) to advance timeline summarization, moving beyond passive Large Language Model (LLM) generation. It employs a two-stage, reasoning-driven process—Global Cognition and Detail Exploration—to actively extract and refine structured timelines from unstructured online news content.