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When does data augmentation help generalization in NLP?

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Ryan Pavlick

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Grounding Language to Landmarks in Arbitrary Outdoor Environments., , , , , и . ICRA, стр. 208-215. IEEE, (2020)Do Prompt-Based Models Really Understand the Meaning of their Prompts?, и . CoRR, (2021)Unit Testing for Concepts in Neural Networks., и . CoRR, (2022)What Happens To BERT Embeddings During Fine-tuning?, , , и . BlackboxNLP@EMNLP, стр. 33-44. Association for Computational Linguistics, (2020)Inducing Lexical Style Properties for Paraphrase and Genre Differentiation., и . HLT-NAACL, стр. 218-224. The Association for Computational Linguistics, (2015)Crowdsourcing for NLP., , и . HLT-NAACL, стр. 2-3. The Association for Computational Linguistics, (2015)Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications., , и . Robotics: Science and Systems, (2020)Planning with State Abstractions for Non-Markovian Task Specifications., , , , , и . Robotics: Science and Systems, (2019)Does Vision-and-Language Pretraining Improve Lexical Grounding?, , и . EMNLP (Findings), стр. 4357-4366. Association for Computational Linguistics, (2021)"Was it "stated" or was it "claimed"?: How linguistic bias affects generative language models., и . EMNLP (1), стр. 10080-10095. Association for Computational Linguistics, (2021)