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Scaling Instruction-Finetuned Language Models., , , , , , , , , and 21 other author(s). CoRR, (2022)Mixture-of-Experts with Expert Choice Routing., , , , , , , , , and . NeurIPS, (2022)Attributed Text Generation via Post-hoc Research and Revision., , , , , , , , , and 1 other author(s). CoRR, (2022)Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts., , , , , , , , , and 10 other author(s). CoRR, (2023)Rethinking the Role of Token Retrieval in Multi-Vector Retrieval., , , , , , and . CoRR, (2023)Dr.ICL: Demonstration-Retrieved In-context Learning., , , , , , , and . CoRR, (2023)Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference., , , , , , , , , and 2 other author(s). CoRR, (2023)Finetuned Language Models Are Zero-Shot Learners., , , , , , , , and . CoRR, (2021)Promptagator: Few-shot Dense Retrieval From 8 Examples., , , , , , , , , and . ICLR, OpenReview.net, (2023)Large Dual Encoders Are Generalizable Retrievers., , , , , , , , , and 1 other author(s). EMNLP, page 9844-9855. Association for Computational Linguistics, (2022)