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Language models as knowledge bases?

, , , , , , и . arXiv preprint arXiv:1909.01066, (2019)

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J. D. Lewis-Williams

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Atlas: Few-shot Learning with Retrieval Augmented Language Models, , , , , , , , , и . (2022)cite arxiv:2208.03299.Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks, , , , , , , , , и 2 other автор(ы). Advances in Neural Information Processing Systems, 33, стр. 9459--9474. Curran Associates, Inc., (2020)Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models., , , и . EMNLP (Findings), стр. 5108-5125. Association for Computational Linguistics, (2023)On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research., , , и . EMNLP, стр. 7595-7609. Association for Computational Linguistics, (2023)SnapKV: LLM Knows What You are Looking for Before Generation., , , , , , , , и . CoRR, (2024)Language models as knowledge bases?, , , , , , и . arXiv preprint arXiv:1909.01066, (2019)MLQA: Evaluating Cross-lingual Extractive Question Answering, , , , и . (2019)cite arxiv:1910.07475Comment: To appear in ACL 2020.From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models., , , и . CoRR, (2024)Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models., , , , и . CoRR, (2023)Dense Passage Retrieval for Open-Domain Question Answering, , , , , , , и . (2020)cite arxiv:2004.04906Comment: EMNLP 2020.