PatchInstruct uses patch-based prompts and decomposition to make LLMs forecast short-horizon time series without fine-tuning, though its claimed consistent gains are not supported by all data.
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Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition
PatchInstruct uses patch-based prompts and decomposition to make LLMs forecast short-horizon time series without fine-tuning, though its claimed consistent gains are not supported by all data.