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MLQA: Evaluating Cross-lingual Extractive Question Answering

, , , , and . (2019)cite arxiv:1910.07475Comment: To appear in ACL 2020.

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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks, , , , , , , , , and 2 other author(s). Advances in Neural Information Processing Systems, 33, page 9459--9474. Curran Associates, Inc., (2020)Atlas: Few-shot Learning with Retrieval Augmented Language Models, , , , , , , , , and . (2022)cite arxiv:2208.03299.Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models., , , and . EMNLP (Findings), page 5108-5125. Association for Computational Linguistics, (2023)Language models as knowledge bases?, , , , , , and . arXiv preprint arXiv:1909.01066, (2019)MLQA: Evaluating Cross-lingual Extractive Question Answering, , , , and . (2019)cite arxiv:1910.07475Comment: To appear in ACL 2020.From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models., , , and . CoRR, (2024)On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research., , , and . EMNLP, page 7595-7609. Association for Computational Linguistics, (2023)Dense Passage Retrieval for Open-Domain Question Answering, , , , , , , and . (2020)cite arxiv:2004.04906Comment: EMNLP 2020.Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models., , , , and . CoRR, (2023)State Plane Trajectory Control of a Soft Switching AC-Link DC-DC Converter., , and . IECON, page 1507-1512. IEEE, (2018)