Papers with Critic-Guided Rule Induction

1 papers
Critic Rule Induction: Improving Temporal Knowledge Graph Forecasting with Generator-Critic Language Models (2026.findings-acl)

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Challenge: Existing methods for predicting future facts from time-evolving graphs rely on statistical co-occurrences and extensive path enumeration.
Approach: They propose a Critic-Guided Rule Induction method which treats temporal rules as rule hypotheses to be examined and adopts a decoupled Generation-Discrimination pipeline to induce rules that are high-coverage and high-precision.
Outcome: The proposed method outperforms strong baselines on three benchmarks and achieves state-of-the-art performance.

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