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FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference.

, , , , , , and . ACL (Findings), page 11534-11547. Association for Computational Linguistics, (2023)

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GLIMMER: generalized late-interaction memory reranker., , , , , and . CoRR, (2023)Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 7329-7342. PMLR, (2023)ReadTwice: Reading Very Large Documents with Memories., , , , , and . NAACL-HLT, page 5189-5195. Association for Computational Linguistics, (2021)Mention Memory: incorporating textual knowledge into Transformers through entity mention attention., , , , and . ICLR, OpenReview.net, (2022)Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text., , , , and . ACL (1), page 4061-4071. Association for Computational Linguistics, (2019)Mention Memory: incorporating textual knowledge into Transformers through entity mention attention., , , , and . CoRR, (2021)FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference., , , , , , and . CoRR, (2022)FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference., , , , , , and . ACL (Findings), page 11534-11547. Association for Computational Linguistics, (2023)Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 35120-35136. PMLR, (2023)Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing., , , , , , , and . COLING, page 4946-4951. International Committee on Computational Linguistics, (2022)