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How Context Affects Language Models' Factual Predictions., , , , , , и . AKBC, (2020)Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements., , , , , , , , , и 9 other автор(ы). CoRR, (2022)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)Misspelling Oblivious Word Embeddings., , , , , и . NAACL-HLT (1), стр. 3226-3234. Association for Computational Linguistics, (2019)Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks., , , , , , , , , и 2 other автор(ы). NeurIPS, (2020)Domain-matched Pre-training Tasks for Dense Retrieval., , , , , , , , , и 1 other автор(ы). CoRR, (2021)KILT: a Benchmark for Knowledge Intensive Language Tasks., , , , , , , , , и 3 other автор(ы). NAACL-HLT, стр. 2523-2544. Association for Computational Linguistics, (2021)The ROOTS Search Tool: Data Transparency for LLMs., , , , , , , и . ACL (demo), стр. 304-314. Association for Computational Linguistics, (2023)FinGPT: Large Generative Models for a Small Language., , , , , , , , , и 11 other автор(ы). EMNLP, стр. 2710-2726. Association for Computational Linguistics, (2023)Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face., , , , , , и . EMNLP (Demos), стр. 140-148. Association for Computational Linguistics, (2023)