Alibaba-NLP/CHRONOS
Repo for NAACL 2025 Paper "Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization"
Implements iterative self-questioning over retrieved news documents to generate chronological event summaries, integrating with LLM APIs (Qwen/GPT, via DashScope/OpenAI), Bing Web Search, and Jina for full-page content extraction. Releases Open-TLS, a large-scale open-domain timeline summarization dataset with extended temporal coverage. PyTorch-based system designed for scalability and efficiency compared to closed-domain baselines, with configurable multi-round questioning loops and evaluation metrics.
296 stars. No commits in the last 6 months.
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296
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33
Language
Python
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Last pushed
Aug 04, 2025
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