SUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs

arXiv:2604.04947v1 Announce Type: cross Abstract: With the rapid proliferation of online sports journalism, extracting meaningful pre-game and post-game insights from articles is essential for enhancing user engagement and comprehension. In this paper, we address the task of automatically extracting such insights from articles published before and after matches. We curate a dataset of 7,900 news articles covering 800 matches across four major sports: Cricket, Soccer, Basketball, and Baseball. To