A general-to-specific training framework with an anonymization stage improves LLM forecasting on temporal knowledge graphs across datasets.
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G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models
A general-to-specific training framework with an anonymization stage improves LLM forecasting on temporal knowledge graphs across datasets.