BLADE: Distilled LLM Regularization for Calibrated Knowledge Graph Completion
Knowledge graph completion models optimize ranking, although many downstream applications require calibrated probabilities. We present BLADE, a variational model that separates latent truth from graph recording and distills offline language-model judgments into a frozen teacher regularizer. The LLM is absent during inf...
Ibne Farabi Shihab, Rabeya Bosri Tamanna, Abdo El Karaky et al.
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