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Proxy Model Explanations for Time Series RNNs., , and . ICMLA, page 698-703. IEEE, (2021)How Does Twitter User Behavior Vary Across Demographic Groups?, , , and . NLP+CSS@ACL, page 83-89. Association for Computational Linguistics, (2017)Audio-Journey: Open Domain Latent Diffusion Based Text-To-Audio Generation., , , , , and . ICASSP, page 6960-6964. IEEE, (2024)Using Noisy Self-Reports to Predict Twitter User Demographics., , , and . SocialNLP@NAACL, page 123-137. Association for Computational Linguistics, (2021)DoubleLingo: Causal Estimation with Large Language Models., and . NAACL (Short Papers), page 799-807. Association for Computational Linguistics, (2024)Model Distillation for Faithful Explanations of Medical Code Predictions., , and . BioNLP@ACL, page 412-425. Association for Computational Linguistics, (2022)Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond., , , , , , , , , and 3 other author(s). Trans. Assoc. Comput. Linguistics, (2022)Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter., , and . PEOPLES@NAACL-HTL, page 56-61. Association for Computational Linguistics, (2018)Convolutions Are All You Need (For Classifying Character Sequences)., , and . NUT@EMNLP, page 208-213. Association for Computational Linguistics, (2018)Predicting Twitter User Demographics from Names Alone., , , and . PEOPLES@NAACL-HTL, page 105-111. Association for Computational Linguistics, (2018)