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Generation-Augmented Retrieval for Open-Domain Question Answering.

, , , , , , and . ACL/IJCNLP (1), page 4089-4100. Association for Computational Linguistics, (2021)

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XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge., , , and . AAAI, page 10840-10848. AAAI Press, (2022)Large-scale L-BFGS using MapReduce., , and . NIPS, page 1332-1340. (2014)Reasoning Like Program Executors., , , , , , , , and . EMNLP, page 761-779. Association for Computational Linguistics, (2022)Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation., , , , , , , , and . EMNLP (Findings), page 118-129. Association for Computational Linguistics, (2022)Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models., , , , , and . ECCV (23), volume 13683 of Lecture Notes in Computer Science, page 389-405. Springer, (2022)Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 21051-21064. PMLR, (2023)Adversarial Retriever-Ranker for Dense Text Retrieval., , , , , and . ICLR, OpenReview.net, (2022)Finding the Dominant Winning Ticket in Pre-Trained Language Models., , , , , , , and . ACL (Findings), page 1459-1472. Association for Computational Linguistics, (2022)Code Execution with Pre-trained Language Models., , , , , , , and . ACL (Findings), page 4984-4999. Association for Computational Linguistics, (2023)Transfer Understanding from Head Queries to Tail Queries., , , and . CIKM, page 1299-1308. ACM, (2014)