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UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers.

, , , , , , , , and . EMNLP, page 11265-11279. Association for Computational Linguistics, (2023)

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Towards Robust Neural Retrieval Models with Synthetic Pre-Training., , , , , , and . CoRR, (2021)Learning Cross-Lingual IR from an English Retriever., , , , , and . CoRR, (2021)Do Answers to Boolean Questions Need Explanations? Yes., , , , and . CoRR, (2021)Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning., , , , , , and . COLING, page 1065-1070. International Committee on Computational Linguistics, (2022)Cross-lingual Structure Transfer for Zero-resource Event Extraction., , , , , , and . LREC, page 1976-1981. European Language Resources Association, (2020)Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures., , , and . EMNLP, page 2588-2597. Association for Computational Linguistics, (2017)Improved Text Classification via Contrastive Adversarial Training., , , and . AAAI, page 11130-11138. AAAI Press, (2022)On The Ingredients of an Effective Zero-shot Semantic Parser., , , and . ACL (1), page 1455-1474. Association for Computational Linguistics, (2022)Multi-lingual Entity Discovery and Linking., , , and . ACL (5), page 22-29. Association for Computational Linguistics, (2018)UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers., , , , , , , , and . EMNLP, page 11265-11279. Association for Computational Linguistics, (2023)