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Ignite Forecasting with SPARK: An Efficient Generative Framework for Refining LLMs in Temporal Knowledge Graph Forecasting

  • Ignite Forecasting with SPARK: An Efficient Generative Framework for Refining LLMs in Temporal Knowledge Graph Forecasting
  • Temporal 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.

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