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In-Context Retrieval-Augmented Language Models

, , , , , , and . (2023)cite arxiv:2302.00083Comment: Accepted for publication in Transactions of the Association for Computational Linguistics (TACL). pre-MIT Press publication version.

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What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary., , , , , and . ACL (1), page 2481-2498. Association for Computational Linguistics, (2023)SenseBERT: Driving Some Sense into BERT., , , , , , , , and . ACL, page 4656-4667. Association for Computational Linguistics, (2020)Transformer Language Models without Positional Encodings Still Learn Positional Information., , , , and . EMNLP (Findings), page 1382-1390. Association for Computational Linguistics, (2022)Making Retrieval-Augmented Language Models Robust to Irrelevant Context., , , and . CoRR, (2023)What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary., , , , , and . CoRR, (2022)Parallel Context Windows for Large Language Models., , , , , , , , , and . ACL (1), page 6383-6402. Association for Computational Linguistics, (2023)Coreference Resolution without Span Representations., , and . ACL/IJCNLP (2), page 14-19. Association for Computational Linguistics, (2021)Standing on the Shoulders of Giant Frozen Language Models., , , , , , , , , and 3 other author(s). CoRR, (2022)How Optimal is Greedy Decoding for Extractive Question Answering?, , , and . CoRR, (2021)Parallel Context Windows Improve In-Context Learning of Large Language Models., , , , , , , , and . CoRR, (2022)