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Dr-CiK: A Benchmark testing Deep Research for Context-Aided Forecasting

Tang, Yihong et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Time series forecasting in real-world settings often depends not only on historical observations, but also on external context that must be actively discovered from noisy, heterogeneous information sources. Yet existing context-aided forecasting benchmarks typically assume that the supporting contex
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