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Training Classifiers with Natural Language Explanations.

, , , , , and . ACL (1), page 1884-1895. Association for Computational Linguistics, (2018)

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Training Classifiers with Natural Language Explanations, , , , , and . arXiv preprint arXiv:1805.03818, (2018)Stronger Data Poisoning Attacks Break Data Sanitization Defenses., , and . CoRR, (2018)GreaseLM: Graph REASoning Enhanced Language Models, , , , , , and . International Conference on Learning Representations, (2021)Learning Programs: A Hierarchical Bayesian Approach., , and . ICML, page 639-646. Omnipress, (2010)Fairness Without Demographics in Repeated Loss Minimization., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1934-1943. PMLR, (2018)Emergent Abilities of Large Language Models., , , , , , , , , and 6 other author(s). Trans. Mach. Learn. Res., (2022)Large Language Models as Analogical Reasoners., , , , , , , and . CoRR, (2023)Data Selection for Language Models via Importance Resampling., , , and . CoRR, (2023)Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases., , , , , , and . CoRR, (2020)Benchmarking Large Language Models for News Summarization., , , , , and . CoRR, (2023)