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How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

, , , and . EMNLP, page 1358-1370. Association for Computational Linguistics, (2022)

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Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models., , , and . IJCNN, page 1-8. IEEE, (2021)GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling., , , , and . CoRR, (2024)An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement., , and . Comput. Methods Programs Biomed., (2020)Improving Event Definition Following For Zero-Shot Event Detection., , , , , , , , and . CoRR, (2024)Leaving Reality to Imagination: Robust Classification via Generated Datasets., and . CoRR, (2023)How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?, , , and . EMNLP, page 1358-1370. Association for Computational Linguistics, (2022)How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?, , , and . ACL (student), page 244-254. Association for Computational Linguistics, (2020)DataComp-LM: In search of the next generation of training sets for language models., , , , , , , , , and 49 other author(s). CoRR, (2024)CyCLIP: Cyclic Contrastive Language-Image Pretraining., , , , , and . NeurIPS, (2022)Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale., , , , , and . ACL (1), page 11833-11856. Association for Computational Linguistics, (2023)