LoID pulls informative priors directly from LLM token predictions instead of generated text, recovering up to 59% of the oracle performance gap on 10 OOD tabular datasets.
The binary classification task uses medical measurements from 768 women from a population near Phoenix, Arizona with high diabetes incidence rates
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What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization
LoID pulls informative priors directly from LLM token predictions instead of generated text, recovering up to 59% of the oracle performance gap on 10 OOD tabular datasets.