Alibaba-NLP/CHRONOS
Repo for NAACL 2025 Paper "Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization"
This tool helps you quickly understand the progression of a news story over time. You provide a news topic or keywords, and it uses AI to search current events, asking itself questions to build a comprehensive, chronological summary of how the story unfolded. Journalists, researchers, and anyone needing to track complex news developments would find this useful.
296 stars. No commits in the last 6 months.
Use this if you need to generate detailed, chronological timelines of news events from a simple search query, improving efficiency in news research.
Not ideal if you require summarization of pre-selected documents or don't have access to various API keys for AI models and web search.
Stars
296
Forks
33
Language
Python
License
—
Category
Last pushed
Aug 04, 2025
Commits (30d)
0
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