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Related Papers

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn many task settings, text classification models are likely to encounter examples from novel classes on which they cannot predict correctly. Selective prediction, in which models abstain on low-confidence examples, …...

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