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

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Albert Xu, Xiang Ren, Robin Jia. Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 11778-11801, Association for Computational Linguistics, 2023. [doi]

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