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Robust Navigation with Language Pretraining and Stochastic Sampling.

, , , , , , , and . EMNLP/IJCNLP (1), page 1494-1499. Association for Computational Linguistics, (2019)

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On Consequentialism and Fairness., and . Frontiers Artif. Intell., (2020)Don't Stop Pretraining: Adapt Language Models to Domains and Tasks, , , , , , and . (2020)cite arxiv:2004.10964Comment: ACL 2020.Specializing Multilingual Language Models: An Empirical Study., and . CoRR, (2021)Elaboration-Generating Commonsense Question Answering at Scale., , , and . CoRR, (2022)An Augmented Lagrangian Approach to Constrained MAP Inference., , , , and . ICML, page 169-176. Omnipress, (2011)What's Worthy of Comment? Content and Comment Volume in Political Blogs., and . ICWSM, The AAAI Press, (2010)Wider Pipelines: N-Best Alignments and Parses in MT Training., , , and . AMTA, page 192-201. Association for Machine Translation in the Americas, (2008)Shortformer: Better Language Modeling using Shorter Inputs., , and . ACL/IJCNLP (1), page 5493-5505. Association for Computational Linguistics, (2021)Data-Efficient Finetuning Using Cross-Task Nearest Neighbors., , , and . ACL (Findings), page 9036-9061. Association for Computational Linguistics, (2023)Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts., , and . ACL (1), page 2748-2760. Association for Computational Linguistics, (2019)