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The paper introduces NegCue, a large-scale negation dataset, and shows that pre-training with affixal negation yields better improvements for negation understanding in language models compared to single-word negation.
Researchers introduce a method to automatically augment commonsense knowledge corpora with negation, creating 2M+ triples that improve LLM negation understanding when used for pre-training.