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News/Beyond Na\"ive Prompting: Strategies for Improved Context-aided Forecasting with LLMs
arxiv
PublishedJuly 14, 2026 at 4:00 AM

Beyond Na\"ive Prompting: Strategies for Improved Context-aided Forecasting with LLMs

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arXiv:2508.09904v3 Announce Type: replace-cross Abstract: Real-world forecasting requires models to integrate not only historical data but also relevant contextual information provided in textual form. While large language models (LLMs) show promise for context-aided forecasting, critical challenges

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