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Emerging Cross-lingual Structure in Pretrained Language Models.

, , , , and . ACL, page 6022-6034. Association for Computational Linguistics, (2020)

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Bridging the domain gap in cross-lingual document classification., , , and . CoRR, (2019)Toward Opinion Summarization: Linking the Sources, and . Proceedings of the Workshop on Sentiment and Subjectivity in Text, page 9--14. Sydney, Australia, Association for Computational Linguistics, (July 2006)Self-training Improves Pre-training for Natural Language Understanding., , , , , , , and . NAACL-HLT, page 5408-5418. Association for Computational Linguistics, (2021)Improving In-Context Few-Shot Learning via Self-Supervised Training., , , , , , and . NAACL-HLT, page 3558-3573. Association for Computational Linguistics, (2022)Topic Identification for Fine-Grained Opinion Analysis., and . COLING, page 817-824. (2008)ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection., , , , , , , , , and . EMNLP, page 2109-2120. Association for Computational Linguistics, (2022)Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models., , , , and . EMNLP, page 11351-11361. Association for Computational Linguistics, (2022)On the Role of Bidirectionality in Language Model Pre-Training., , , , and . EMNLP (Findings), page 3973-3985. Association for Computational Linguistics, (2022)LEVER: Learning to Verify Language-to-Code Generation with Execution., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 26106-26128. PMLR, (2023)Training Trajectories of Language Models Across Scales., , , , , , , and . ACL (1), page 13711-13738. Association for Computational Linguistics, (2023)