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Relational knowledge in LLMs isn't as simple as a fixed linear mapping between subject and object embeddings, and how you ask the question matters.
KL divergence can fool you: matching a teacher's predictions doesn't guarantee preserving its internal representations, but distilling with logit distance does.
