PaP-NF uses prefix-as-prompt reprogramming of a frozen LLM to extract global context that conditions a normalizing flow decoder, producing probabilistic long-term time series forecasts evaluated by CRPS.
Forecasting: principles and practice
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PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows
PaP-NF uses prefix-as-prompt reprogramming of a frozen LLM to extract global context that conditions a normalizing flow decoder, producing probabilistic long-term time series forecasts evaluated by CRPS.