Ignite Forecasting with SPARK: An Efficient Generative Framework for Refining LLMs in Temporal Knowledge Graph ForecastingTemporal Knowledge Graph (TKG) forecasting is crucial for predicting future events using historical data.SPARK is a Sequence-level Proxy-Adapting framework for Refining LLMs in TKG forecasting.SPARK offers a cost-effective, plug-and-play solution for efficient TKG forecasting by utilizing beam search and traditional TKG models.